classes ::: programming, media,
children ::: keys (database)
branches ::: data, databases, datatype
see also :::

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class:programming
class:media

datastreams
database (databank)

chars
strings
lists
functions?
objects?



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OBJECT INSTANCES [17] - TOPICS - AUTHORS - BOOKS - CHAPTERS - CLASSES - SEE ALSO - SIMILAR TITLES

TOPICS
audio_files
bigindex
dir_KEYS
dir_lib
encyclopedia
fact
Folders
gifs
img
keys_(database)
Library
map
media
my_computer
table
todo_(here)
wordlist

AUTH

BOOKS
18000_books_ranked
Full_Circle
Heart_of_Matter
Infinite_Library
Modern_Man_in_Search_of_a_Soul
Mysticism_and_Logic
Process_and_Reality
The_Divine_Milieu
The_Yoga_Sutras
Toward_the_Future

IN CHAPTERS TITLE
1.07_-_The_Primary_Data_of_Being

IN CHAPTERS CLASSNAME

IN CHAPTERS TEXT
0.02_-_The_Three_Steps_of_Nature
01.03_-_Mystic_Poetry
01.03_-_Rationalism
03.02_-_Aspects_of_Modernism
03.09_-_Art_and_Katharsis
03.14_-_From_the_Known_to_the_Unknown?
04.01_-_The_March_of_Civilisation
04.07_-_Matter_Aspires
05.06_-_Physics_or_philosophy
05.08_-_An_Age_of_Revolution
1.00_-_The_Constitution_of_the_Human_Being
1.01_-_Appearance_and_Reality
1.01_-_MAPS_OF_EXPERIENCE_-_OBJECT_AND_MEANING
1.01_-_Necessity_for_knowledge_of_the_whole_human_being_for_a_genuine_education.
1.01_-_Principles_of_Practical_Psycho_therapy
1.01_-_The_Cycle_of_Society
1.02_-_In_the_Beginning
1.02_-_MAPS_OF_MEANING_-_THREE_LEVELS_OF_ANALYSIS
1.02_-_The_Two_Negations_1_-_The_Materialist_Denial
1.02_-_The_Vision_of_the_Past
10.37_-_The_Golden_Bridge
1.03_-_Concerning_the_Archetypes,_with_Special_Reference_to_the_Anima_Concept
1.03_-_The_Two_Negations_2_-_The_Refusal_of_the_Ascetic
1.03_-_The_Uncreated
1.04_-_SOME_REFLECTIONS_ON_PROGRESS
1.04_-_THE_APPEARANCE_OF_ANOMALY_-_CHALLENGE_TO_THE_SHARED_MAP
1.04_-_The_Gods_of_the_Veda
1.04_-_Wherefore_of_World?
1.05_-_2010_and_1956_-_Doomsday?
1.05_-_Knowledge_by_Aquaintance_and_Knowledge_by_Description
1.05_-_The_Creative_Principle
1.05_-_THE_HOSTILE_BROTHERS_-_ARCHETYPES_OF_RESPONSE_TO_THE_UNKNOWN
1.06_-_Being_Human_and_the_Copernican_Principle
1.06_-_On_Induction
1.06_-_The_Desire_to_be
1.06_-_The_Objective_and_Subjective_Views_of_Life
1.07_-_Medicine_and_Psycho_therapy
1.07_-_On_Our_Knowledge_of_General_Principles
1.07_-_Standards_of_Conduct_and_Spiritual_Freedom
1.07_-_The_Farther_Reaches_of_Human_Nature
1.07_-_The_Fire_of_the_New_World
1.07_-_The_Primary_Data_of_Being
1.07_-_The_Prophecies_of_Nostradamus
1.08_-_The_Gods_of_the_Veda_-_The_Secret_of_the_Veda
1.08_-_The_Methods_of_Vedantic_Knowledge
1.09_-_Sri_Aurobindo_and_the_Big_Bang
1.09_-_The_Absolute_Manifestation
1.10_-_On_our_Knowledge_of_Universals
1.10_-_The_Secret_of_the_Veda
1.11_-_On_Intuitive_Knowledge
1.11_-_The_Change_of_Power
1.11_-_The_Master_of_the_Work
1.1.1_-_The_Mind_and_Other_Levels_of_Being
1.11_-_The_Reason_as_Governor_of_Life
1.11_-_The_Second_Genesis
1.1.2_-_Intellect_and_the_Intellectual
1.13_-_Gnostic_Symbols_of_the_Self
1.13_-_Knowledge,_Error,_and_Probably_Opinion
1.13_-_Reason_and_Religion
1.13_-_System_of_the_O.T.O.
1.14_-_Bibliography
1.14_-_The_Limits_of_Philosophical_Knowledge
1.14_-_The_Structure_and_Dynamics_of_the_Self
1.17_-_Astral_Journey__Example,_How_to_do_it,_How_to_Verify_your_Experience
1.18_-_The_Infrarational_Age_of_the_Cycle
1.19_-_Life
1.20_-_Death,_Desire_and_Incapacity
1.20_-_TANTUM_RELIGIO_POTUIT_SUADERE_MALORUM
1.21_-_My_Theory_of_Astrology
1.21_-_The_Ascent_of_Life
1.2.2_-_The_Place_of_Study_in_Sadhana
1.22_-_The_Problem_of_Life
1.240_-_1.300_Talks
1.240_-_Talks_2
1.25_-_The_Knot_of_Matter
1.26_-_The_Ascending_Series_of_Substance
13.04_-_A_Note_on_Supermind
1.3.5.03_-_The_Involved_and_Evolving_Godhead
1.4.02_-_The_Divine_Force
1.4_-_Readings_in_the_Taittiriya_Upanishad
1.50_-_Eating_the_God
1.51_-_How_to_Recognise_Masters,_Angels,_etc.,_and_how_they_Work
1.68_-_The_God-Letters
1.69_-_Farewell_to_Nemi
1929-06-23_-_Knowledge_of_the_Yogi_-_Knowledge_and_the_Supermind_-_Methods_of_changing_the_condition_of_the_body_-_Meditation,_aspiration,_sincerity
1951-05-14_-_Chance_-_the_play_of_forces_-_Peace,_given_and_lost_-_Abolishing_the_ego
1960_06_22
1960_08_24
1f.lovecraft_-_At_the_Mountains_of_Madness
1f.lovecraft_-_Discarded_Draft_of
1f.lovecraft_-_Facts_concerning_the_Late
1f.lovecraft_-_In_the_Walls_of_Eryx
1f.lovecraft_-_Pickmans_Model
1f.lovecraft_-_The_Call_of_Cthulhu
1f.lovecraft_-_The_Case_of_Charles_Dexter_Ward
1f.lovecraft_-_The_Colour_out_of_Space
1f.lovecraft_-_The_Curse_of_Yig
1f.lovecraft_-_The_Dream-Quest_of_Unknown_Kadath
1f.lovecraft_-_The_Dunwich_Horror
1f.lovecraft_-_The_Horror_at_Red_Hook
1f.lovecraft_-_The_Last_Test
1f.lovecraft_-_The_Lurking_Fear
1f.lovecraft_-_The_Mound
1f.lovecraft_-_The_Picture_in_the_House
1f.lovecraft_-_The_Rats_in_the_Walls
1f.lovecraft_-_The_Shadow_over_Innsmouth
1f.lovecraft_-_The_Shunned_House
1f.lovecraft_-_The_Trap
1f.lovecraft_-_The_Whisperer_in_Darkness
1f.lovecraft_-_Winged_Death
1.jk_-_Spenserian_Stanza._Written_At_The_Close_Of_Canto_II,_Book_V,_Of_The_Faerie_Queene
1.jk_-_To_Fanny
1.poe_-_Eureka_-_A_Prose_Poem
1.rt_-_The_Little_Big_Man
2.01_-_Habit_1__Be_Proactive
2.01_-_On_Books
2.01_-_The_Two_Natures
2.02_-_Brahman,_Purusha,_Ishwara_-_Maya,_Prakriti,_Shakti
2.02_-_Habit_2__Begin_with_the_End_in_Mind
2.02_-_The_Status_of_Knowledge
2.03_-_The_Eternal_and_the_Individual
2.03_-_The_Purified_Understanding
2.05_-_Habit_3__Put_First_Things_First
2.05_-_The_Cosmic_Illusion;_Mind,_Dream_and_Hallucination
2.06_-_Reality_and_the_Cosmic_Illusion
2.07_-_The_Knowledge_and_the_Ignorance
2.09_-_Memory,_Ego_and_Self-Experience
2.1.02_-_Nature_The_World-Manifestation
2.1.03_-_Man_and_Superman
2.10_-_Knowledge_by_Identity_and_Separative_Knowledge
2.13_-_On_Psychology
2.1.4.2_-_Teaching
2.14_-_The_Origin_and_Remedy_of_Falsehood,_Error,_Wrong_and_Evil
2.14_-_The_Unpacking_of_God
2.15_-_Reality_and_the_Integral_Knowledge
2.17_-_The_Soul_and_Nature
2.18_-_The_Evolutionary_Process_-_Ascent_and_Integration
2.2.01_-_The_Problem_of_Consciousness
2.2.01_-_Work_and_Yoga
2.2.03_-_The_Science_of_Consciousness
2.20_-_The_Philosophy_of_Rebirth
2.24_-_The_Evolution_of_the_Spiritual_Man
2.25_-_The_Higher_and_the_Lower_Knowledge
2.25_-_The_Triple_Transformation
2.26_-_The_Ascent_towards_Supermind
2.3.02_-_The_Supermind_or_Supramental
2.3.06_-_The_Mind
2_-_Other_Hymns_to_Agni
3.05_-_SAL
3.05_-_The_Divine_Personality
3.1.02_-_A_Theory_of_the_Human_Being
3.18_-_Of_Clairvoyance_and_the_Body_of_Light
32.07_-_The_God_of_the_Scientist
3.2.09_-_The_Teachings_of_Some_Modern_Indian_Yogis
3.20_-_Of_the_Eucharist
3.2.3_-_Dreams
3.4.03_-_Materialism
3-5_Full_Circle
3.6.01_-_Heraclitus
3.7.1.01_-_Rebirth
3.7.1.04_-_Rebirth_and_Soul_Evolution
3.7.1.07_-_Involution_and_Evolution
3.7.1.11_-_Rebirth_and_Karma
3.7.2.05_-_Appendix_I_-_The_Tangle_of_Karma
3.8.1.04_-_Different_Methods_of_Writing
3_-_Commentaries_and_Annotated_Translations
4.02_-_The_Psychology_of_the_Child_Archetype
4.05_-_The_Instruments_of_the_Spirit
4.07_-_Purification-Intelligence_and_Will
4.1.01_-_The_Intellect_and_Yoga
4.1.3_-_Imperfections_and_Periods_of_Arrest
4.21_-_The_Gradations_of_the_supermind
4.22_-_The_supramental_Thought_and_Knowledge
4.23_-_The_supramental_Instruments_--_Thought-process
4.24_-_The_supramental_Sense
4.25_-_Towards_the_supramental_Time_Vision
5.05_-_Supermind_and_Humanity
5.08_-_ADAM_AS_TOTALITY
5.4.02_-_Occult_Powers_or_Siddhis
5_-_The_Phenomenology_of_the_Spirit_in_Fairytales
6.0_-_Conscious,_Unconscious,_and_Individuation
Apology
APPENDIX_I_-_Curriculum_of_A._A.
Blazing_P1_-_Preconventional_consciousness
Blazing_P2_-_Map_the_Stages_of_Conventional_Consciousness
Blazing_P3_-_Explore_the_Stages_of_Postconventional_Consciousness
BOOK_II._--_PART_I._ANTHROPOGENESIS.
BOOK_II._--_PART_III._ADDENDA._SCIENCE_AND_THE_SECRET_DOCTRINE_CONTRASTED
BOOK_II._--_PART_II._THE_ARCHAIC_SYMBOLISM_OF_THE_WORLD-RELIGIONS
BOOK_I._--_PART_I._COSMIC_EVOLUTION
BOOK_I._--_PART_III._SCIENCE_AND_THE_SECRET_DOCTRINE_CONTRASTED
BOOK_I._--_PART_II._THE_EVOLUTION_OF_SYMBOLISM_IN_ITS_APPROXIMATE_ORDER
BOOK_XIII._-_That_death_is_penal,_and_had_its_origin_in_Adam's_sin
Conversations_with_Sri_Aurobindo
ENNEAD_02.09_-_Against_the_Gnostics;_or,_That_the_Creator_and_the_World_are_Not_Evil.
ENNEAD_03.07_-_Of_Time_and_Eternity.
ENNEAD_04.02_-_How_the_Soul_Mediates_Between_Indivisible_and_Divisible_Essence.
ENNEAD_06.05_-_The_One_and_Identical_Being_is_Everywhere_Present_In_Its_Entirety.345
Euthyphro
For_a_Breath_I_Tarry
Liber_46_-_The_Key_of_the_Mysteries
r1912_01_13
r1912_02_07
r1912_07_22
r1912_11_29
r1912_12_06
r1912_12_30
r1913_01_04
r1913_01_08
r1913_01_13
r1913_01_15
r1913_02_02
r1913_02_03
r1913_02_07
r1913_06_17
r1913_06_17b
r1913_12_13
r1913_12_28
r1913_12_29
r1913_12_30
r1914_03_12
r1914_03_24
r1914_03_25
r1914_07_22
r1914_07_25
r1918_05_24
Talks_With_Sri_Aurobindo_1
Talks_With_Sri_Aurobindo_2
The_Act_of_Creation_text
The_Coming_Race_Contents
The_Dwellings_of_the_Philosophers
The_Last_Question
The_Riddle_of_this_World

PRIMARY CLASS

media
programming
SEE ALSO

SIMILAR TITLES
data
databases
datatype
keys (database)

DEFINITIONS

data abstraction ::: (data) Any representation of data in which the implementation details are hidden (abstracted). Abstract data types and objects are the two primary forms of data abstraction.[Other forms?].(2003-07-03)

data abstraction
<data> Any representation of data in which the implementation
details are hidden (abstracted). {Abstract data types} and
{objects} are the two primary forms of data abstraction.
[Other forms?].
(2003-07-03)


data acquisition
{data logging}


data available. He seems to operate in both

database ::: 1. (database) One or more large structured sets of persistent data, usually associated with software to update and query the data. A simple database might be a single file containing many records, each of which contains the same set of fields where each field is a certain fixed width.A database is one component of a database management system.See also ANSI/SPARC Architecture, atomic, blob, data definition language, deductive database, distributed database, fourth generation language, functional database, object-oriented database, relational database. .2. (hypertext) A collection of nodes managed and stored in one place and all accessible via the same server. Links outside this are external, and those inside are internal.On the World-Wide Web this is called a website.3. All the facts and rules comprising a logic programming program.(2005-11-17)

database administrator
A person responsible for the design and management of
one or more {databases} and for the evaluation, selection and
implementation of {database management systems}. In smaller
organisations, the data administrator and database
administrator are often one in the same; however, when they
are different, the database administrator's function is more
technical. The database administrator would implement the
database software that meets the requirements outlined by the
organisation's data administrator and {systems analysts}.
Tasks might include controling an organisation's data
resources, using {data dictionary} software to ensure {data
integrity} and security, recovering corrupted data and
eliminating data redundancy and uses tuning tools to improve
database performance.
(2004-03-11)


database administrator ::: (job) A person responsible for the design and management of one or more databases and for the evaluation, selection and implementation of database administrator would implement the database software that meets the requirements outlined by the organisation's data administrator and systems analysts.Tasks might include controling an organisation's data resources, using data dictionary software to ensure data integrity and security, recovering corrupted data and eliminating data redundancy and uses tuning tools to improve database performance.(2004-03-11)

database analyst
A person who uses {data modeling} to analyse and specify
data use within an application area. A database analyst
defines both {logical views} and physical data structures. In
a {client/server} environment, he defines the database part of
the back end system.
(2004-03-11)


database analyst ::: (job) A person who uses data modeling to analyse and specify data use within an application area. A database analyst defines both logical views and physical data structures. In a client/server environment, he defines the database part of the back end system.(2004-03-11)

database
1. <database> One or more large structured sets of persistent
data, usually associated with software to update and {query}
the data. A simple database might be a single file containing
many {records}, each of which contains the same set of
{fields} where each field is a certain fixed width.
A database is one component of a {database management system}.
See also {ANSI/SPARC Architecture}, {atomic}, {blob}, {data
definition language}, {deductive database}, {distributed
database}, {fourth generation language}, {functional
database}, {object-oriented database}, {relational database}.
{Carol E. Brown's tutorial
(http://accounting.rutgers.edu/raw/aies/www.bus.orst.edu/faculty/brownc/lectures/db_tutor/db_tutor.htm)}.
2. A collection of {nodes} managed and stored in
one place and all accessible via the same {server}. {Links}
outside this are "external", and those inside are "internal".
On the {World-Wide Web} this is called a {website}.
3. All the facts and rules comprising a {logic programming}
program.
(2005-11-17)


database machine
A {computer} or special hardware that stores and
retrieves data from a {database}. It is specially designed
for database access and is coupled to the main ({front-end})
computer(s) by a high-speed channel. This contrasts with a
{database server}, which is a computer in a {local area
network} that holds a database. The database machine is
tightly coupled to the main {CPU}, whereas the database server
is loosely coupled via the network.
[Example?]
(2004-03-11)


database machine ::: (hardware) A computer or special hardware that stores and retrieves data from a database. It is specially designed for database access and is coupled to database. The database machine is tightly coupled to the main CPU, whereas the database server is loosely coupled via the network.[Example?](2004-03-11)

database management system ::: (database) (DBMS) A suite of programs which typically manage large structured sets of persistent data, offering ad hoc query facilities to many users. They are widely used in business applications.A database management system (DBMS) can be an extremely complex set of software programs that controls the organisation, storage and retrieval of data (fields, the database. The DBMS accepts requests for data from the application program and instructs the operating system to transfer the appropriate data.When a DBMS is used, information systems can be changed much more easily as the organisation's information requirements change. New categories of data can be added to the database without disruption to the existing system.Data security prevents unauthorised users from viewing or updating the database. Using passwords, users are allowed access to the entire database or subsets of group of users may be authorised to view only payroll data, while others are allowed access to only work history and medical data.The DBMS can maintain the integrity of the database by not allowing more than one user to update the same record at the same time. The DBMS can keep duplicate records out of the database; for example, no two customers with the same customer numbers (key fields) can be entered into the database.Query languages and report writers allow users to interactively interrogate the database and analyse its data.If the DBMS provides a way to interactively enter and update the database, as well as interrogate it, this capability allows for managing personal databases. available when a set of application programs are customised for each data entry and updating function.A business information system is made up of subjects (customers, employees, vendors, etc.) and activities (orders, payments, purchases, etc.). Database and how the record types will relate to each other. The DBMS should mirror the organisation's data structure and process transactions efficiently.Organisations may use one kind of DBMS for daily transaction processing and then move the detail onto another computer that uses another DBMS better suited for data administrators and systems analysts. Detailed database design is performed by database administrators.The three most common organisations are the hierarchical database, network database and relational database. A database management system may provide one, most suitable structure depends on the application and on the transaction rate and the number of inquiries that will be made.Database machines are specially designed computers that hold the actual databases and run only the DBMS and related software. Connected to one or more accessing the disks containing the databases, such as using multiple processors concurrently for high-speed searches.The world of information is made up of data, text, pictures and voice. Many DBMSs manage text as well as data, but very few manage both with equal common for a database to handle data, text, graphics, voice and video with the same ease as today's systems handle data.See also: intelligent database. (1998-10-07)

database management system
<database> (DBMS) A suite of programs which typically manage
large structured sets of persistent data, offering ad hoc
query facilities to many users. They are widely used in
business applications.
A database management system (DBMS) can be an extremely
complex set of software programs that controls the
organisation, storage and retrieval of data (fields, records
and files) in a database. It also controls the security and
integrity of the database. The DBMS accepts requests for data
from the application program and instructs the operating
system to transfer the appropriate data.
When a DBMS is used, information systems can be changed much
more easily as the organisation's information requirements
change. New categories of data can be added to the database
without disruption to the existing system.
Data security prevents unauthorised users from viewing or
updating the database. Using passwords, users are allowed
access to the entire database or subsets of the database,
called subschemas (pronounced "sub-skeema"). For example, an
employee database can contain all the data about an individual
employee, but one group of users may be authorised to view
only payroll data, while others are allowed access to only
work history and medical data.
The DBMS can maintain the integrity of the database by not
allowing more than one user to update the same record at the
same time. The DBMS can keep duplicate records out of the
database; for example, no two customers with the same customer
numbers (key fields) can be entered into the database.
{Query languages} and {report writers} allow users to
interactively interrogate the database and analyse its data.
If the DBMS provides a way to interactively enter and update
the database, as well as interrogate it, this capability
allows for managing personal databases. However, it may not
leave an audit trail of actions or provide the kinds of
controls necessary in a multi-user organisation. These
controls are only available when a set of application programs
are customised for each data entry and updating function.
A business information system is made up of subjects
(customers, employees, vendors, etc.) and activities (orders,
payments, purchases, etc.). Database design is the process of
deciding how to organize this data into record types and how
the record types will relate to each other. The DBMS should
mirror the organisation's data structure and process
transactions efficiently.
Organisations may use one kind of DBMS for daily transaction
processing and then move the detail onto another computer that
uses another DBMS better suited for random inquiries and
analysis. Overall systems design decisions are performed by
data administrators and systems analysts. Detailed database
design is performed by database administrators.
The three most common organisations are the {hierarchical
database}, {network database} and {relational database}. A
database management system may provide one, two or all three
methods. Inverted lists and other methods are also used. The
most suitable structure depends on the application and on the
transaction rate and the number of inquiries that will be
made.
Database machines are specially designed computers that hold
the actual databases and run only the DBMS and related
software. Connected to one or more mainframes via a
high-speed channel, database machines are used in large volume
transaction processing environments. Database machines have a
large number of DBMS functions built into the hardware and
also provide special techniques for accessing the disks
containing the databases, such as using multiple processors
concurrently for high-speed searches.
The world of information is made up of data, text, pictures
and voice. Many DBMSs manage text as well as data, but very
few manage both with equal proficiency. Throughout the 1990s,
as storage capacities continue to increase, DBMSs will begin
to integrate all forms of information. Eventually, it will be
common for a database to handle data, text, graphics, voice
and video with the same ease as today's systems handle data.
See also: {intelligent database}.
(1998-10-07)


database manager
The part of the database management system (DBMS) that handles
the organisation, storage and retrieval of the data. A
database manager may work with traditional programming
languages, such as COBOL and BASIC, or may work only with its
proprietary programming language. The terms database manager
and database management system are used interchangeably.
A database manager links two or more files together and is the
foundation for developing routine business systems. Contrast
with file manager, which works with only one file at a time
and is typically used interactively on a personal computer for
managing personal, independent files, such as name and address
lists.


database manager ::: The part of the database management system (DBMS) that handles the organisation, storage and retrieval of the data. A database manager may work with traditional proprietary programming language. The terms database manager and database management system are used interchangeably.A database manager links two or more files together and is the foundation for developing routine business systems. Contrast with file manager, which works computer for managing personal, independent files, such as name and address lists.

database normalisation ::: (database) A series of steps followed to obtain a database design that allows for efficient access and storage of data in a relational database. These steps reduce data redundancy and the chances of data becoming inconsistent.A table in a relational database is said to be in normal form if it satisfies certain constraints. Codd's original work defined three such forms but there are is called First Normal Form (1NF), the output of the second step is Second Normal Form (2NF), etc.First Normal Form eliminates repeating groups by putting each value of a multi-valued attribute into a new row.Second Normal Form eliminates functional dependencies on a partial key by putting the fields in a separate table from those that are dependent on the whole key.Third Normal Form eliminates functional dependencies on non-key fields by putting them in a separate table. At this stage, all non-key fields are dependent on the key, the whole key and nothing but the key.Fourth Normal Form separates independent multi-valued facts stored in one table into separate tables.Fifth Normal Form breaks out data redundancy that is not covered by any of the previous normal forms. .[What about non-relational databases?](2005-07-28)

database normalisation
<database> A series of steps followed to obtain a {database}
design that allows for efficient access and {storage} of data
in a {relational database}. These steps reduce data
redundancy and the chances of data becoming inconsistent.
A {table} in a {relational database} is said to be in normal
form if it satisfies certain {constraints}. {Codd}'s original
work defined three such forms but there are now five generally
accepted steps of normalisation. The output of the first step
is called First Normal Form (1NF), the output of the second
step is Second Normal Form (2NF), etc.
First Normal Form eliminates {repeating groups} by putting
each value of a multi-valued attribute into a new row.
Second Normal Form eliminates {functional dependencies} on a
{partial key} by putting the fields in a separate table from
those that are dependent on the whole {key}.
Third Normal Form eliminates functional dependencies on
non-key fields by putting them in a separate table. At this
stage, all non-key fields are dependent on the key, the whole
key and nothing but the key.
Fourth Normal Form separates independent multi-valued facts
stored in one table into separate tables.
Fifth Normal Form breaks out data redundancy that is not
covered by any of the previous normal forms.
{(http://bkent.net/Doc/simple5.htm)}.
[What about non-relational databases?]
(2005-07-28)


database query language ::: (database) A language in which users of a database can (interactively) formulate requests and generate reports. The best known is SQL. (1998-04-15)

database query language
<database> A language in which users of a {database} can
(interactively) formulate requests and generate reports. The
best known is {SQL}.
(1998-04-15)


database server ::: A stand-alone computer in a local area network that holds and manages the database. It implies that database management functions, such as locating the parts of the database, for example, entire indexes, be transmitted to the user's computer where the real database management tasks are performed.First-generation personal computer database software was not designed for a network; thus, modified versions of the software released by the vendors area networks, perform the management tasks in the server where they should be done, and consequently are turning the file server into a database server.

database server
A stand-alone computer in a local area network that holds and
manages the database. It implies that database management
functions, such as locating the actual record being requested,
is performed in the server computer. Contrast with file
server, which acts as a remote disk drive and requires that
large parts of the database, for example, entire indexes, be
transmitted to the user's computer where the real database
management tasks are performed.
First-generation personal computer database software was not
designed for a network; thus, modified versions of the
software released by the vendors employed the file server
concept. Second-generation products, designed for local area
networks, perform the management tasks in the server where
they should be done, and consequently are turning the file
server into a database server.


database transaction
<database> A set of related changes applied to a {database}. The
term typically implies that either all of the changes should be
applied or, in the event of an error, none of them, i.e. the
transaction should be {atomic}. Atomicity is one of the {ACID}
properties a transaction can have, another is {isolation} -
preventing interference between processes trying to access the
database {cocurrently}. This is usually achieved by some form of
{locking} - where one process takes exclusive control of a
database {table} or {row} for the duration of the transaction,
preventing other processes from accessing the locked data.
The canonical example of a transaction is transferring money
between two bank accounts by subtracting it from one and adding it
to the other.
Some {relational database management systems} require the user to
explicitly start a transaction and then either commit it (if all
the individual steps are successful) or roll it back (if there are
any errors).
(2013-06-03)


data ::: (data, data processing, jargon) /day't*/ (Or raw data) Numbers, characters, images, or other method of recording, in a form which can be there, or transmitted on some digital channel. Computers nearly always represent data in binary.Data on its own has no meaning, only when interpreted by some kind of data processing system does it take on meaning and become information.People or computers can find patterns in data to perceive information, and information can be used to enhance knowledge. Since knowledge is prerequisite to wisdom, we always want more data and information. But, as modern societies verge on information overload, we especially need better ways to find patterns.1234567.89 is data.Your bank balance has jumped 8087% to $1234567.89 is information.Nobody owes me that much money is knowledge.I'd better talk to the bank before I spend it, because of what has happened to other people is wisdom. (1999-04-30)

datable ::: a. --> That may be dated; having a known or ascertainable date.

data
<data, data processing, jargon> /day't*/ (Or "raw data")
Numbers, {characters}, {images}, or other method of recording,
in a form which can be assessed by a human or (especially)
input into a {computer}, stored and {processed} there, or
transmitted on some {digital channel}. Computers nearly
always represent data in {binary}.
Data on its own has no meaning, only when interpreted by some
kind of {data processing} system does it take on meaning and
become {information}.
For example, the binary data 01110101 might represent the integer
117 or the {ASCII} lower case U character or the blue component of
a pixel in some {video}. Which of these it represents is
determined by the way it is processed (added, printed, displayed,
etc.). Even these numbers, characters or pixels however are still
not really information until their context is known, e.g. my bank
balance is £117, there are two Us in "vacuum", you have blue eyes.
(2007-09-10)


data bus ::: (architecture) The bus (connections between and within the CPU, memory, and peripherals) used to carry data. Other connections are the address bus and control signals.The width and clock rate of the data bus determine its data rate (the number of bytes per second it can carry), which is one of the main factors determining the external connections cheaper while retaining some of the benefits in processing power of a wider bus.See also data path. (1995-01-16)

data bus
The bus (connections between and within the
{CPU}, memory, and peripherals) used to carry {data}. Other
connections are the {address bus} and control signals.
The width and {clock rate} of the data bus determine its data
rate (the number of {bytes} per second it can carry), which is
one of the main factors determining the processing power of a
computer. Most current processor designs use a 32-bit bus,
meaning that 32 bits of data can be transferred at once. Some
processors have an internal data bus which is wider than their
external bus in order to make external connections cheaper
while retaining some of the benefits in processing power of a
wider bus.
See also {data path}.
(1995-01-16)


datacenter manager
A person who plans and directs all computer and
{peripheral} operations, {data entry}, data control scheduling
and quality control.
(2004-03-11)


datacenter manager ::: (job) A person who plans and directs all computer and peripheral operations, data entry, data control scheduling and quality control.(2004-03-11)

data channel
A channel (on a {BRI} or {PRI} line) used to
carry control information, to set up connections on the
associated {bearer channels}. The name wasn't too bad back
when users were sending voice (not data) over the {bearer
channels}, but in 1997 it's quite a misnomer.
(1997-03-10)


data channel ::: (communications) A channel (on a BRI or PRI line) used to carry control information, to set up connections on the associated bearer channels. The name wasn't too bad back when users were sending voice (not data) over the bearer channels, but in 1997 it's quite a misnomer. (1997-03-10)

data communications analyst
A person who installs, maintains, and troubleshoots
{data networks}. A data communications analyst may have
knowledge of {T1} lines, {TCP/IP}, {fiber optics}, {SNA},
{frame relay}. He assists users with problems related to
connectivity, analyses data flow, configures {modems}, {DSUs},
{multiplexors}, and {routers}, and uses network tools such as
{NetView} or {Netspy}.
(2004-03-11)


data communications analyst ::: (job) A person who installs, maintains, and troubleshoots data networks. A data communications analyst may have knowledge of T1 lines, TCP/IP, fiber connectivity, analyses data flow, configures modems, DSUs, multiplexors, and routers, and uses network tools such as NetView or Netspy.(2004-03-11)

data compression ::: (algorithm) compression. Probably to distinguish it from (electronic) signal compression. (1995-04-02)

data compression
{compression}. Probably to distinguish it from
(electronic) {signal compression}.
(1995-04-02)


datacrawl, the: A streaming feed of important data that moves slowly across the peripheral vision of an operative’s glasses, visor, or viewscreen; officially referred to as the Visual Data & Analysis Spectrum (VDAS, pronounced veee-DAS).

data dictionary ::: (database) A data structure that stores meta-data, i.e. data about data. The term data dictionary has several uses.Most generally it is a set of data descriptions that can be shared by several applications.Usually it means a table in a database that stores the names, field types, length, and other characteristics of the fields in the database tables.An active data dictionary is automatically updated as changes occur in the database. A passive data dictionary must be manually updated.In a DBMS, this functionality is performed by the system catalog. The data dictionary is a more general software utility used by designers, users, and administrators for information resource management.The data dictionary may maintain information on system hardware, software, documentation, users, and other aspects.Data dictionaries are also used to document the database design process itself and can accumulate meta-data ready to feed into the system catalog.[Does anybody call them codebooks?](2001-04-24)

data dictionary
<database> A data structure that stores {metadata}, i.e. data
about {data}. The term "data dictionary" has several uses.
Most generally it is a set of {data descriptions} that
can be shared by several applications.
Usually it means a {table} in a {database} that stores the
names, {field} {types}, length, and other characteristics of
the fields in the database tables.
An active data dictionary is automatically updated as changes
occur in the database. A passive data dictionary must be
manually updated.
In a {DBMS}, this functionality is performed by the {system
catalog}. The data dictionary is a more general software
utility used by designers, users, and administrators for
{information resource management}.
The data dictionary may maintain information on system
hardware, software, documentation, users, and other aspects.
Data dictionaries are also used to document the database
design process itself and can accumulate metadata
ready to feed into the system catalog.
[Does anybody call them "codebooks"?]
(2001-04-24)


data dictionary file ::: (database) (DDF) A set of files describing the structure of a database file. DDFs define database tables and include information about file locations, field layouts and indexes. DDFs are the standard method for defining field and index characteristics for Btrieve files. (1997-06-03)

data dictionary file
<database> (DDF) A set of files describing the structure of a
{database} file. DDFs define {database tables} and include
information about file locations, field layouts and
indexes. DDFs are the standard method for defining field and
index characteristics for {Btrieve} files.
(1997-06-03)


data driven ::: A data driven architecture/language performs computations in an order dictated by data dependencies. Two kinds of data driven computation are dataflow and demand driven.From about 1970 research in parallel data driven computation increased. Centres of excellence emerged at MIT, CERT-ONERA in France, NTT and ETL in Japan and Manchester University.

data driven
A data driven architecture/language performs computations in
an order dictated by data dependencies. Two kinds of data
driven computation are {dataflow} and {demand driven}.
From about 1970 research in parallel {data driven} computation
increased. Centres of excellence emerged at {MIT},
{CERT-ONERA} in France, {NTT} and {ETL} in Japan and
{Manchester University}.


data feed
<data, architecture> Some process for transferring {data} from
one system to another in a predetermined form.
(2009-05-17)


data flow ::: A data flow architecture or language performs a computation when all the operands are available. Data flow is one kind of data driven architecture, the data to be transmitted directly from the producing instruction to the consuming one.Data flow schemes differ chiefly in the way that they handle re-entrant code. Static schemes disallow it, dynamic schemes use either code copying or tagging at every point of reentry.An example of a data flow architecture is MIT's VAL machine.

data flow analysis
A process to discover the dependencies between
different data items manipulated by a program. The order of
execution in a {data driven} language is determined solely by
the data dependencies. For example, given the equations
1. X = A + B
2. B = 2 + 2
3. A = 3 + 4
a data-flow analysis would find that 2 and 3 must be evaluated
before 1. Since there are no data dependencies between 2 and
3, they may be evaluated in any order, including in parallel.
This technique is implemented in {hardware} in some
{pipelined} processors with multiple {functional units}. It
allows instructions to be executed as soon as their inputs are
available, independent of the original program order.
(1996-05-13)


data flow analysis ::: (programming) A process to discover the dependencies between different data items manipulated by a program. The order of execution in a data driven language is determined solely by the data dependencies. For example, given the equations 1. X = A + B2. B = 2 + 2 3, they may be evaluated in any order, including in parallel.This technique is implemented in hardware in some pipelined processors with multiple functional units. It allows instructions to be executed as soon as their inputs are available, independent of the original program order. (1996-05-13)

data flow
A data flow architecture or language performs a
computation when all the {operands} are available. Data flow is
one kind of {data driven} architecture, the other is {demand
driven}. It is a technique for specifying {fine-grain
concurrency}, usually in the form of two-dimensional graphs in
which instructions that are available for concurrent execution are
written alongside each other while those that must be executed in
sequence are written one under the other. Data dependencies
between instructions are indicated by directed arcs. Instructions
do not reference memory since the data dependence arcs allow data
to be transmitted directly from the producing instruction to the
consuming one.
Data flow schemes differ chiefly in the way that they handle
{re-entrant} code. Static schemes disallow it, dynamic
schemes use either "code copying" or "tagging" at every point
of reentry.
An example of a data flow architecture is {MIT}'s {VAL}
machine.


data fork
{Macintosh file system}


data frame
{activation record}


data glove
An input device for {virtual
reality} in the form of a glove which measures the movements
of the wearer's fingers and transmits them to the computer.
Sophisticated data gloves also measure movement of the wrist
and elbow. A data glove may also contain control buttons or
act as an output device, e.g. vibrating under control of the
computer. The user usually sees a virtual image of the
data glove and can point or grip and push objects.
Examples are {Fifth Dimension Technologies} (5DT)'s {5th
Glove}, and {Virtual Technologies}' {CyberGlove}. A cheaper
alternative is {InWorld VR}'s {CyberWand}.
["Full freedom plus input", PC Magazine, Mar 14 1995,
pp. 168-190].
[Inventor?]
(1995-04-04)


data glove ::: (hardware, virtual reality) An input device for virtual reality in the form of a glove which measures the movements of the wearer's fingers and an output device, e.g. vibrating under control of the computer. The user usually sees a virtual image of the data glove and can point or grip and push objects.Examples are Fifth Dimension Technologies (5DT)'s 5th Glove, and Virtual Technologies' CyberGlove. A cheaper alternative is InWorld VR's CyberWand.[Full freedom plus input, PC Magazine, Mar 14 1995, pp. 168-190].[Inventor?] (1995-04-04)

datagram ::: A self-contained, independent entity of data carrying sufficient information to be routed from the source to the destination computer without reliance on earlier exchanges between this source and destination computer and the transporting network.See also connectionless, frame, packet.

datagram
A self-contained, independent entity of data carrying
sufficient information to be {route}d from the source to the
destination computer without reliance on earlier exchanges
between this source and destination computer and the
transporting {network}.
See also {connectionless}, {frame}, {packet}.


data hierarchy
The system of data objects which provide the {methods} for
{information} storage and retrieval. Broadly, a data
hierarchy may be considered to be either natural, which arises
from the alphabet or syntax of the language in which the
information is expressed, or machine, which reflects the
facilities of the computer, both hardware and software.
A natural data hierarchy might consist of {bits},
{characters}, words, phrases, sentences, paragraphs, and
chapters. One might use components bound to an application,
such as field, record, and file, and these would ordinarily be
further specified by having {data descriptors} such as name
field, address field, etc. On the other hand, a machine or
software system might use {bit}, {byte}, {word}, {block},
{partition}, {channel}, and {port}.
Programming languages often provide {types} or {objects} which
can create data hierarchies of arbitrary complexity, thus
allowing software system designers to model language
structures described by the linguist to greater or lesser
degree.
The distinction between the natural form of data and the
facilities provided by the machine may be obscure, because
users force their needs into the molds provided, and
programmers change machine designs. As an example, the
natural data type "character" and the machine type "byte" are
often used interchangeably, because the latter has evolved to
meet the need of representing the former.
(1995-11-03)


data hierarchy ::: The system of data objects which provide the methods for information storage and retrieval. Broadly, a data hierarchy may be considered to be either natural, information is expressed, or machine, which reflects the facilities of the computer, both hardware and software.A natural data hierarchy might consist of bits, characters, words, phrases, sentences, paragraphs, and chapters. One might use components bound to an etc. On the other hand, a machine or software system might use bit, byte, word, block, partition, channel, and port.Programming languages often provide types or objects which can create data hierarchies of arbitrary complexity, thus allowing software system designers to model language structures described by the linguist to greater or lesser degree.The distinction between the natural form of data and the facilities provided by the machine may be obscure, because users force their needs into the molds data type character and the machine type byte are often used interchangably, because the latter has evolved to meet the need of representing the former. (1995-11-03)

data integrity
<data> The absence of unintended changes or errors in some
data. Integrity implies that the data is an exact copy of
some original version, e.g. that it has not been corrupted in
the process of being written to, and read back from, a {hard
disk} or during transmission via some communications channel.
Integrity may further imply that the {information} represented
by the data has been {validated}, i.e. verified to conform to
certain constraints, e.g. a date's year, month and day parts
are within the appropriate ranges and the date actually
exists.
(2009-06-03)


dataless management utility
(DMU) A {Dataless Management Services}
(DMS) utility for managing the sharing of installed operating
software between DMS servers and clients. It allows users to
install, configure, show and delete DMS environments and add,
list, modify and remove DMS clients.
(2005-09-15)


dataless management utility ::: (operating system) (DMU) A Dataless Management Services (DMS) utility for managing the sharing of installed operating software between DMS servers and clients. It allows users to install, configure, show and delete DMS environments and add, list, modify and remove DMS clients.(2005-09-15)

data link layer
Layer two, the second lowest layer in the {OSI}
seven layer model. The data link layer splits data into
{frames} (see {fragmentation}) for sending on the {physical
layer} and receives acknowledgement frames. It performs error
checking and re-transmits frames not received correctly. It
provides an error-free virtual channel to the {network layer}.
The data link layer is split into an upper sublayer, {Logical
Link Control} (LLC), and a lower sublayer, {Media Access
Control} (MAC).
Example {protocols} at this layer are {ABP}, {Go Back N},
{SRP}.
(1995-02-14)


data link layer ::: (networking) Layer two, the second lowest layer in the OSI seven layer model. The data link layer splits data into frames (see fragmentation) for into an upper sublayer, Logical Link Control (LLC), and a lower sublayer, Media Access Control (MAC).Example protocols at this layer are ABP, Go Back N, SRP. (1995-02-14)

data link level ::: data link layer

data link level
{data link layer}


data logger ::: data logging

data logger
{data logging}


data logging ::: (data) (data acquisition) Storing a series of measurements over time, usually from a sensor that converts a physical quantity such as temperature, simultaneous measurements. The hardware usually connects to a parallel port, serial port or USB port on a PC.(2004-11-15)

data logging
<data> (data acquisition) Storing a series of measurements
over time, usually from a sensor that converts a physical
quantity such as temperature, pressure, relative humidity,
light, resistance, current, power, speed, vibration into a
voltage that is then converted by a {digital to analog
converter} (DAC) into a binary number. Data logging hardware
may have several DACs for multiple simultaneous measurements.
The hardware usually connects to a {parallel port}, {serial
port} or {USB} port on a {PC}.
(2004-11-15)


data mart ::: (database) A type of data warehouse designed primarily to address a specific function or department's needs, as opposed to a data warehouse which is ability to access the underlying base data to enable drill-down analysis as necessary. (1998-04-24)

data mart
<database> A type of {data warehouse} designed primarily to
address a specific function or department's needs, as opposed
to a data warehouse which is traditionally meant to address
the needs of the organisation from an enterprise perspective.
In addition, a data mart often uses {aggregation} or
summarisation of the data to enhance query performance.
However, it is important to maintain the ability to access the
underlying base data to enable {drill-down analysis} as
necessary.
(1998-04-24)


data mining ::: (database) Analysis of data in a database using tools which look for trends or anomalies without knowledge of the meaning of the data. Data mining was invented by IBM who hold some related patents.Data mining may well be done on a data warehouse. is an example of a data mining tool.(2001-02-08)

data mining
<database> Analysis of data in a {database} using tools which
look for trends or anomalies without knowledge of the meaning
of the data. Data mining was invented by {IBM} who hold some
related patents.
Data mining may well be done on a {data warehouse}.
{ShowCase STRATEGY (http://showcasecorp.com/)} is an
example of a data mining tool.
(2001-02-08)


data model ::: (database) The product of the database design process which aims to identify and organize the required data logically and physically.A data model says what information is to be contained in a database, how the information will be used, and how the items in the database will be related to each other.For example, a data model might specify that a customer is represented by a customer name and credit card number and a product as a product code and price, and that there is a one-to-many relation between a customer and a product.It can be difficult to change a database layout once code has been written and data inserted. A well thought-out data model reduces the need for such changes. Data modelling enhances application maintainability and future systems may re-use parts of existing models, which should lower development costs.A data modelling language is a mathematical formalism with a notation for describing data structures and a set of operations used to manipulate and validate that data.One of the most widely used methods for developing data models is the entity-relationship model. The relational model is the most widely used type of data model. Another example is NIAM.[Principles of Database and Knowledge-Base Systems, J.D. Ullman, Volume I, Computer Science Press, 1988, p. 32].(2000-06-24)

data model
<database> The product of the {database} design process which
aims to identify and organize the required data logically and
physically.
A data model says what information is to be contained in a
database, how the information will be used, and how the items
in the database will be related to each other.
For example, a data model might specify that a customer is
represented by a customer name and credit card number and a
product as a product code and price, and that there is a
one-to-many relation between a customer and a product.
It can be difficult to change a database layout once code has
been written and data inserted. A well thought-out data model
reduces the need for such changes. Data modelling enhances
application maintainability and future systems may re-use
parts of existing models, which should lower development
costs.
A data modelling language is a mathematical formalism with a
notation for describing data structures and a set of
operations used to manipulate and validate that data.
One of the most widely used methods for developing data models
is the {entity-relationship model}. The {relational model} is
the most widely used type of data model. Another example is
{NIAM}.
["Principles of Database and Knowledge-Base Systems",
J.D. Ullman, Volume I, Computer Science Press, 1988, p. 32].
(2000-06-24)


data modeling
US spelling of "{data model}ling".
(2000-06-24)


data modeling ::: (spelling) US spelling of data modelling.(2000-06-24)

data modelling
{data model}


data ::: n. pl. --> See Datum. ::: pl. --> of Datum

data packet
{packet}


data path ::: (architecture) A CPU's internal data bus and functional units. The width of the data path in bits is a major determiner of the processor's performance. (1997-07-09)

data path
A {CPU}'s internal {data bus} and {functional
units}. The width of the data path in bits is a major
determiner of the processor's performance.
(1997-07-09)


data processing ::: (application) The input, verification, organisation, storage, retrieval, transformation, and extraction of information from data. The term is normally associated with commercial applications such as stock control or payroll. (1995-03-30)

data processing
<data processing> An antiquated term for the input,
verification, organisation, storage, retrieval and
transformation of {data} and the extraction of {information}.
The term was associated with commercial applications such as
stock control or payroll.
(2019-01-26)


data: Quantitative or qualitative results of observations and measurements in statistics. The word data is the plural of the singular form datum.

data rate
{data transfer rate}


data rate ::: (communications, unit) (Or data ransfer rate, transmission rate) The amount of data transferred per second by a communications channel or a computing or storage device.Data rate is measured in units of bits per second (written b/s or bps), bytes per second (Bps), or baud.When applied to data rate, the multiplier prefixes kilo-, mega-, giga-, etc. (and their abbreviations, k, M, G, etc.) always denote powers of 1000. For example, 64 kbps is 64,000 bits per second. This contrasts with units of storage where they stand for powers of 1024, e.g. 1 KB = 1024 bytes.[Relationship with bandwidth?](2002-03-23)

data redundancy
<data, communications, storage> Any technique that stores or
transmits extra, derived data that can be used to detect or
repair errors, either in hardware or software. Examples are
{parity bits} and the {cyclic redundancy check}.
If the cost of errors is high enough, e.g. in a
{safety-critical system}, redundancy may be used in both
hardware AND software with three separate computers programmed
by three separate teams ("triple redundancy") and some system
to check that they all produce the same answer, or some kind
of majority voting system.
The term is not typically used for other, less beneficial,
duplication of data.
2. The proportion of a message's gross
information content that can be eliminated without losing
essential information.
Technically, redundancy is one minus the ratio of the actual
uncertainty to the maximum uncertainty. This is the fraction
of the structure of the message which is determined not by the
choice of the sender, but rather by the accepted statistical
rules governing the choice of the symbols in question.
[Shannon and Weaver, 1948, p. l3]
(2010-02-04)


dataria ::: n. --> Formerly, a part of the Roman chancery; now, a separate office from which are sent graces or favors, cognizable in foro externo, such as appointments to benefices. The name is derived from the word datum, given or dated (with the indications of the time and place of granting the gift or favor).

datary ::: n. --> An officer in the pope&

data segment
The range of memory locations where the {initialised
data} of a program produced by a {Unix} {linker} is located.
Executable code is located in the {code segment} and
uninitialised data in the {bss segment}.
(2004-02-24)


data segment ::: (memory) The range of memory locations where the initialised data of a program produced by a Unix linker is located.Executable code is located in the code segment and uninitialised data in the bss segment.(2004-02-24)

data service unit
(DSU or "data service unit") A device used in
digital transmission for connecting a CSU (Channel Service
Unit) to {Data Terminal Equipment} (a terminal or computer),
in the same way that a {modem} is used for connection to an
analogue medium.
A DSU provides a standard interface to a user's terminal which
is compatible with {modems} and handles such functions as
signal translation, regeneration, reformatting, and timing.
The transmitting portion of the DSU processeses the customers'
signal into bipolar pulses suitable for transmission over the
digital facility. The receiving portion of the DSU is used
both to extract timing information and to regenerate mark and
space information from the received {bipolar} signal.
(1995-01-30)


data service unit ::: (communications) (DSU or data service unit) A device used in digital transmission for connecting a CSU (Channel Service Unit) to Data Terminal Equipment (a terminal or computer), in the same way that a modem is used for connection to an analogue medium.A DSU provides a standard interface to a user's terminal which is compatible with modems and handles such functions as signal translation, regeneration, information and to regenerate mark and space information from the received bipolar signal. (1995-01-30)

data set
An {IBM} term for a {file}.
(1997-04-15)


data set ::: (operating system, storage) An IBM term for a file. (1997-04-15)

data set organization
(DSORG) An {IBM} term for {file}
structure. These include PS {physical sequential}, DA {direct
access}, IS {indexed sequential}, PO {partitioned} (a
library). This system dates from {OS/360}, and breaks down
beginning with {VSAM} and {VTAM}, where it is no longer
applied.
Sequential and indexed data sets can be accessed using either
a "basic" or a "queued" "access method." For example a
DSORG=PS file can use either BSAM (basic sequential access
method) or QSAM (queued sequential access method). It can
also be processed as a {direct file} using BDAM. Likewise a
library can be processed using BPAM (basic partitioned access
method), BSAM, QSAM, or BDAM. DSORG and access method are
somewhat, but not completely, orthogonal.
The "basic" access method deals with {physical blocks} rather
than {records}, and usually provides more control over the
specific {device}. Each I/O operation using the "basic"
access method reads or writes a single block. A "basic" read
or write starts an {asynchronous} I/O operation, and the
programmer is responsible for waiting for completion and
checking for errors.
The "queued" access method deals with {logical records} and
provides blocking and deblocking services. It is "queued"
because it provides {read-ahead} and {write-behind} services.
While a program is processing records in one input block, for
example, QSAM may be reading one or more blocks ahead. Queued
"get" or "put" operations are synchronous as far as the
programmer is concerned. The operation is complete when the
next logical record has been successfully processed.
EXCP ({Execute Channel Program}) is a lower-level method of
accessing data.
IBM manuals usually named "Data Administration Guide",
e.g. SC26-4505-1 for MVS/ESA DFP 3.1, provide more detail
about data set organizations and access methods.
(2005-08-08)


data set organization ::: (operating system, storage) (DSORG) An IBM term for file structure. These include PS physical sequential, DA direct, IS indexed sequential, PO partitioned (a library). This system dates from OS/360, and breaks down beginning with VSAM and VTAM, where it is no longer applied.Sequential and indexed data sets can be accessed using either a basic or a queued access method. For example a DSORG=PS file can use either BSAM (basic using BPAM (basic partitioned access method), BSAM, QSAM, or BDAM. DSORG and access method are somewhat, but not completely, orthogonal.The basic access method deals with physical blocks rather than records, and usually provides more control over the specific device. Each I/O operation using write starts an asynchronous I/O operation, and the programmer is responsible for waiting for completion and checking for errors.The queued access method deals with logical records and provides blocking and deblocking services. It is queued because it provides read-ahead and operations are synchronous as far as the programmer is concerned. The operation is complete when the next logical record has been successfully processed.EXCP (Execute Channel Program) is a lower-level method of accessing data.IBM manuals usually named Data Administration Guide, e.g. SC26-4505-1 for MVS/ESA DFP 3.1, provide more detail about data set organizations and access methods.(2005-08-08)

data storage
(Or "memory") A device or medium into which data can
be entered, in which it can be held, and from which it can be
retrieved at a later time.
The distinguishing characteristics of a device are its
capacity (the number of bytes it can hold), its {access
speed}, whether it is {volatile} (loses data when the power is
turned off), whether it is {removeable} or fixed and whether
it is writeable or read-only.
Some examples are {DRAM}, {hard disk}, {CD-ROM}, {Flash
memory}.
{Storage timeline
(https://www.frontierinternet.com/gateway/data-storage-timeline/)}
by {(https://www.frontierinternet.com/)}.
(2018-04-11)


data striping
Segmentation of logically {sequential} data, such as
a single file, so that segments can be written to multiple
physical devices (usually {disk drives}) in a {round-robin}
fashion. This technique is useful if the processor is capable
of reading or writing data faster than a single disk can
supply or accept it. While data is being transferred from the
first disk, the second disk can locate the next segment.
Data striping is used in some modern {databases}, such as
{Sybase}, and in certain {RAID} devices under hardware
control, such as {IBM}'s {RAMAC} array subsystem (9304/9395).
Data striping is different from, and may be used in
conjunction with, {mirroring}.
(1996-10-17)


data striping ::: (storage) Segmentation of logically sequential data, such as a single file, so that segments can be written to multiple physical devices (usually disk accept it. While data is being transferred from the first disk, the second disk can locate the next segment.Data striping is used in some modern databases, such as Sybase, and in certain RAID devices under hardware control, such as IBM's RAMAC array subsystem (9304/9395).Data striping is different from, and may be used in conjunction with, mirroring. (1996-10-17)

data structure ::: (data, programming) Any method of organising a collection of data to allow it to be manipulated effectively. It may include meta data to describe the properties of the structure.Examples data structures are: array, dictionary, graph, hash, heap, linked list, matrix, object, queue, ring, stack, tree, vector.(2003-09-11)

data structure
<data, programming> Any method of organising a collection of
{data} to allow it to be manipulated effectively. It may
include {meta} data to describe the properties of the
structure.
Examples data structures are: {array}, {dictionary}, {graph},
{hash}, {heap}, {linked list}, {matrix}, {object}, {queue},
{ring}, {stack}, {tree}, {vector}.
(2003-09-11)


data transfer
<data> Copying or moving {data} from one place to another,
typically via some kind of {network} (e.g. {Asynchronous
Transfer Mode}, {File Transfer Protocol}) or local data
connection ({bus}, {SCSI}, {IDE}, {SATA}).
(2009-06-09)


data transfer rate
(Or "throughput, data rate", "transmission
rate") The amount of {data} transferred in one direction over
a link divided by the time taken to transfer it, usually
expressed in bits per second (bps), bytes per second (Bps) or
{baud}. The link may be anything from an interface to a {hard
disk} to a radio transmission from a satellite.
Where data transfer is not continuous throughout the given
time interval, the data transfer rate is thus an average rate
that will be lower than the peak rate. The peak or maximum
possible rate may itself be lower than the {capacity} of the
communication channel if the channel is shared, or part of the
signal is not considered as data, e.g. {checksum} or {routing}
information.
When applied to data rate, the multiplier {prefixes} "kilo-",
"mega-", "giga-", etc. (and their abbreviations, "k", "M",
"G", etc.) always denote powers of 1000. For example, 64 kbps
is 64,000 bits per second. This contrasts with units of
{storage} where they stand for powers of 1024, e.g. 1 KB =
1024 bytes.
The other important characteristic of a channel is its
{latency}.
The {bandwidth} of a channel determines the data transfer rate
but is a different characteristic, measured in {Hertz}.
[Relationship?]
(2008-02-08)


data transfer rate ::: (communications) (Or throughput) The ammount of data transferred in one direction over a link divided by the time taken to transfer it, usually expressed in bits or bytes per second.Where data transfer is not continuous throughout the given time interval, the data transfer rate is thus an average rate that will be lower than the peak the communication channel used if the channel is shared, or part of the signal is not considered as data, e.g. checksum or routing information.The other important characteristic of a channel is its latency.[Is this correct?](2001-05-22)

data type
{type}


data warehouse ::: (database) 1. A generic term for a system for storing, retrieving and managing large amounts of any type of data. Data warehouse software often includes sophisticated compression and hashing techniques for fast searches, as well as advanced filtering.2. A database, often remote, containing recent snapshots of corporate data. Planners and researchers can use this database freely without worrying about slowing down day-to-day operations of the production database.Compare data mart. (1998-04-30)

data warehouse
<database> (Or corporate data warehouse, CDW) Any system for
storing, retrieving and managing large amounts of data. Data
warehouse software often includes sophisticated {compression}
and {hashing} techniques for fast searches, as well as
advanced filtering. A data warehouse is often a {relational
database} containing a recent snapshot of corporate data and
optimised for searching. Planners and researchers can use
this database without worrying about slowing down day-to-day
operations of the production database. The latter can be
optimised for transaction processing (inserts and updates).
Compare {data mart}.
(2007-05-16)


data warehousing
{data warehouse}


Data – A collection of information.

Data Address Generator ::: (architecture) (DAG) The mechanism which generates temporary memory addresses for data that is transferred between memory and registers in a Digital Signal Processor.Certain DSP architectures incorporate more than one DAG to simplify the programming needed to move blocks of data between buffers.For instance, certain Fast Fourier Transform algorithms requiring bit reversing, can use the DAG for that purpose, or they can use two DAGS, one for Program Memory Data (PMD), and the other for Data Memory Data (DMD). (1997-08-12)

Data Address Generator
(DAG) The mechanism which generates temporary
memory addresses for data that is transferred between memory
and {registers} in a {Digital Signal Processor}.
Certain {DSP} architectures incorporate more than one DAG to
simplify the programming needed to move blocks of data between
buffers.
For instance, certain {Fast Fourier Transform} {algorithms}
requiring {bit reversing}, can use the DAG for that purpose,
or they can use two DAGS, one for Program Memory Data (PMD),
and the other for Data Memory Data (DMD).
(1997-08-12)


Data_analytics ::: is the science of drawing insights from raw information sources. Many of the techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption. Data analytics techniques can reveal trends and metrics that would otherwise be lost in the mass of information. This information can then be used to optimize processes to increase the overall efficiency of a business or system.

Database - An organised collection of data stored electronically with instant access, searching and sorting facilities.

Data/BASIC
(Or "Pick BASIC") A {BASIC}-like language with
{database} capabilities, the main programming language on the
{Pick OS}.
["The Data/BASIC Language - A Data Processing Language for
Non-Professional Programmers", P.C. Dressen, Proc SJCC 36,
AFIPS, Spring 1970].
(2001-04-30)


Data/BASIC ::: (language) (Or Pick BASIC) A BASIC-like language with database capabilities, the main programming language on the Pick OS.[The Data/BASIC Language - A Data Processing Language for Non-Professional Programmers, P.C. Dressen, Proc SJCC 36, AFIPS, Spring 1970].(2001-04-30)

DATABUS
DATApoint BUSiness Language.
A language like an interpreted {assembly language}, used for
custom applications on {Datapoint} computers.
(1995-01-16)


DATABUS ::: DATApoint BUSiness Language.A language like an interpreted assembly language, used for custom applications on Datapoint computers. (1995-01-16)

DATACODE I
An early system used on the {Datatron 200} series.
[Listed in CACM 2(5):16, May 1959].
(1994-12-06)


DATACODE I ::: (language) An early system used on the Datatron 200 series.[Listed in CACM 2(5):16, May 1959]. (1994-12-06)

Datacom ::: A DBMS from Computer Associates International. (1994-12-06)

Datacom
A {DBMS} from {Computer Associates International}.
(1994-12-06)


Data Communication Equipment
(DCE) The devices and connections
of a communications network that connect the communication
circuit between the data source and destination (the {Data
Terminal Equipment} or DTE). A {modem} is the most common
kind of DCE.
Before data can be transmited over a modem, the DTR (Data
Terminal Ready) signal must be active. DTR tells the DCE that
the DTE is ready to transmit and receive data.
DCE and DTE are usually connected by an {EIA-232} {serial
line}. It is necessary to distinguish these two types of
device because their connectors must be wired differently if a
"straight-through" cable (pin 1 to pin 1, pin 2 to pin 2 etc.)
is to be used. DCE should have a female connector and should
transmit on pin two and receive on pin three. It is a curious
fact that many {modems} are "DTE" according to the original
standard.
(1995-02-28)


Data Communication Equipment ::: (communications, hardware) (DCE) The devices and connections of a communications network that connect the communication circuit between the data source and destination (the Data Terminal Equipment or DTE). A modem is the most common kind of DCE.Before data can be transmited over a modem, the DTR (Data Terminal Ready) signal must be active. DTR tells the DCE that the DTE is ready to transmit and receive data.DCE and DTE are usually connected by an EIA-232 serial line. It is necessary to distinguish these two types of device because their connectors must be wired and receive on pin three. It is a curious fact that many modems are DTE according to the original standard. (1995-02-28)

Data Communications Equipment
{Data Communication Equipment}


Data definition language
database> (DDL)
1. A language enabling the structure and instances of a
{database} to be defined in a human-, and machine-readable
form.
{SQL} contains DDL commands that can be used either
interactively, or within programming language {source code},
to define databases and their components, e.g. CREATE and
DROP.
See also {Data manipulation language} (DML).
2. A specification language for databases, based on the
{entity-relationship model}. It is used in the {Eli}
{compiler-compiler} to manage type definitions.
["DDL Reference Manual", ECE Dept U Colorado, 1991].
(1999-04-26)


Data definition language ::: (language, database) (DDL)1. A language enabling the structure and instances of a database to be defined in a human-, and machine-readable form.SQL contains DDL commands that can be used either interactively, or within programming language source code, to define databases and their components, e.g. CREATE and DROP.See also Data manipulation language (DML).2. A specification language for databases, based on the entity-relationship model. It is used in the Eli compiler-compiler to manage type definitions.[DDL Reference Manual, ECE Dept U Colorado, 1991]. (1999-04-26)

Data Driven Machine
(DDM) A {dataflow} language.
["The Architecture and System Method of DDM-1: A Recursively
Structured Data Driven Machine", A. Davis, Proc 5th Ann Symp
Comp Arch, IEEE 1978].
(1999-04-26)


Data Driven Machine ::: (language) (DDM) A dataflow language.[The Architecture and System Method of DDM-1: A Recursively Structured Data Driven Machine, A. Davis, Proc 5th Ann Symp Comp Arch, IEEE 1978]. (1999-04-26)

Data Encryption Algorithm
(DEA) An {ANSI} {standard} defined in ANSI X3.92-1981. It is
identical to the {Data Encryption Standard} (DES).
(1994-12-06)


Data Encryption Algorithm ::: (DEA) An ANSI standard defined in ANSI X3.92-1981. It is identical to the Data Encryption Standard (DES). (1994-12-06)

Data Encryption Key
(DEK) Used for the {encryption} of message text and for the
computation of message integrity checks (signatures).
See {cryptography}.
(1994-12-06)


Data Encryption Key ::: (DEK) Used for the encryption of message text and for the computation of message integrity checks (signatures).See cryptography. (1994-12-06)

Data Encryption Standard
(DES) The {NBS}'s popular, standard {encryption} algorithm.
It is a {product cipher} that operates on 64-bit blocks of
data, using a 56-bit key. It is defined in {FIPS} 46-1 (1988)
(which supersedes FIPS 46 (1977)). DES is identical to the
{ANSI} standard {Data Encryption Algorithm} (DEA) defined in
ANSI X3.92-1981.
DES has been implemented in {VLSI}. {SunOS} provides a des
command which can make use of DES hardware if fitted. Neither
the software nor the hardware are supposed to be distributed
outside the USA.
{Unix manual pages}: des(1), des(3), des(4).
(1994-12-06)


Data Encryption Standard ::: (DES) The NBS's popular, standard encryption algorithm. It is a product cipher that operates on 64-bit blocks of data, using a 56-bit key. It is defined in FIPS 46-1 (1988) (which supersedes FIPS 46 (1977)). DES is identical to the ANSI standard Data Encryption Algorithm (DEA) defined in ANSI X3.92-1981.DES has been implemented in VLSI. SunOS provides a des command which can make use of DES hardware if fitted. Neither the software nor the hardware are supposed to be distributed outside the USA.Unix manual pages: des(1), des(3), des(4). (1994-12-06)

Data Flow Diagram
A graphical notation used to describe how {data}
flows between {processes} in a system. Data flow diagrams are
an important tool of most {structured analysis} techniques.
{(http://smartdraw.com/resources/centers/software/dfd.htm)}.
(2003-05-17)


Data Flow Diagram ::: (programming) A graphical notation used to describe how data flows between processes in a system. Data flow diagrams are an important tool of most structured analysis techniques. .(2003-05-17)

Data General
A US computer manufacturer. Responsible for the
{Nova} {minicomputer}.
Quarterly sales $284M, profits -$12M (Aug 1994).
(1994-09-26)


Data General ::: (company) A US computer manufacturer. Responsible for the Nova minicomputer.Quarterly sales $284M, profits -$12M (Aug 1994). (1994-09-26)

Data General mN601
{Data General MicroNova 601}


Data General mN601 ::: Data General MicroNova 601

Data Interchange Standards Association
(DISA) A not-for-profit corporation that acts as
the secretariat for {ANSI}'s {EDI} standards committee, ASC
X12 that works on {ANSI X12}. DISA manages ASC X12's
membership, balloting, standards development and maintenance,
publications, and communications with ANSI.
(1999-09-18)


Data Interchange Standards Association ::: (standard) (DISA) A not-for-profit corporation that acts as the secretariat for ANSI's EDI standards committee, ASC X12 that works on ANSI X12. DISA manages ASC X12's membership, balloting, standards development and maintenance, publications, and communications with ANSI. (1999-09-18)

Data Jack
A wall-mounted or desk-mounted connector
(frequently a wide telephone-style 8-pin {RJ-45}) for
connecting to data cabling in a building.
(1997-01-07)


Data Jack ::: (hardware) A wall-mounted or desk-mounted connector (frequently a wide telephone-style 8-pin RJ-45) for connecting to data cabling in a building. (1997-01-07)

Datakit
A {circuit-switched} digital network, similar to
{X.25}. Datakit supports {host-to-host} connections and
{EIA-232} connections for {terminals}, {printers}, and {hosts}.
Most of {Bell Laboratories} is {trunk}ed together on Datakit.
On top of DK transport service, people run {UUCP} for
{electronic mail} and {dkcu} for {remote login}.
ISN is the version of Datakit supported by {AT&T} Information
Systems. Bell Laboratories in Holmdel, New Jersey, uses ISN
for internal data communication.
{(http://fc.net:80/phrack/files/p18/p18-9.html)}.
["Towards a universal data transport system", A. G. Fraser,
IEEE Journal on Selected Areas in Communications, SAC-1(5)
pp. 803-16, 1983].
(1996-10-20)


Datakit ::: (networking) A circuit-switched digital network, similar to X.25. Datakit supports host-to-host connections and EIA-232 connections for terminals, printers, and hosts.Most of Bell Laboratories is trunked together on Datakit. On top of DK transport service, people run UUCP for electronic mail and dkcu for remote login.ISN is the version of Datakit supported by AT&T Information Systems. Bell Laboratories in Holmdel, New Jersey, uses ISN for internal data communication. .[Towards a universal data transport system, A. G. Fraser, IEEE Journal on Selected Areas in Communications, SAC-1(5) pp. 803-16, 1983]. (1996-10-20)

Dataless Management Services
(DMS)
{(http://cs.arizona.edu/computer.help/policy/DIGITAL_unix/AA-PS3LE-TE_html/sharing10.html)}.
(2005-09-15)


Dataless Management Services ::: (operating system) (DMS) .(2005-09-15)

Data Link Connection Identifier
(DLCI) A channel number which is attached to
{data frames} to tell a {Frame Relay} network how to route the
data. In Frame Relay, multiple logical channels are
{multiplexed} over a single physical channel. The DLCI says
which of these logical channels a particular data frame
belongs to.
{(http://etinc.com/frmain.htm


Data Link Connection Identifier ::: (networking) (DLCI) A channel number which is attached to data frames to tell a Frame Relay network how to route the data. In Frame Relay, multiple logical channels are multiplexed over a single physical channel. The DLCI says which of these logical channels a particular data frame belongs to. .(2000-02-13)

Data Link Provider Interface
(DLPI) The interface that a {network driver}
presents to the (higher level) {logical link layer} for
driving the network at the {datagram} level in a {Unix}
{STREAMS} environment and possibly elsewhere.
DLPI corresponds to {ISO 8802}/2 ({LLC}) which covers both
{connection-oriented} and {connectionless} {protocols}.
[Is this correct? Better explanation?]
(1996-01-29)


Data Link Provider Interface ::: (networking) (DLPI) The interface that a network driver presents to the (higher level) logical link layer for driving the network at the datagram level in a Unix STREAMS environment and possibly elsewhere.DLPI corresponds to ISO 8802/2 (LLC) which covers both connection-oriented and connectionless protocols.[Is this correct? Better explanation?] (1996-01-29)

Data Link Switching
(DLSw) A standard for transporting {IBM} {Systems
Network Architecture} (SNA) and {network basic input/output
system} (NetBIOS) traffic over an {Internet protocol} network.
Initially, in 1992, DLSw was proprietary to IBM. It was
submitted to the {IETF} as {RFC 1434} in 1993, later updated
by {RFC 1795}.
{(http://www.cisco.com/univercd/cc/td/doc/cisintwk/ito_doc/dlsw.htm)}.
(2008-01-11)


Data_loss ::: occurs when valuable and/or sensitive information on a computer is compromised due to theft, human error, viruses, malware, or power failure. It may also occur due to physical damage or mechanical failure or equipment or an edifice. The biggest reasons for data loss include laptop theft, accidental deletion or overwriting of files, power outages and surges, spilled liquids, and the wearing out or sudden failure of hard drives. Regularly backing up files makes data recovery possible in the event of data loss. For data that hasn’t been backed up, professional recovery services might be able to restore lost data. Servers can also suffer from data loss, just like individual computers and devices can.  Data Loss: Common Causes   Power surges and outages hurt computers by causing operating systems to shut down suddenly without following the proper procedures. The file corruption that can result can make it impossible to reboot the computer. Liquid spills onto laptop keyboards can seep into the casing and damage the internal components, especially in the case of acidic or sugary drinks, so it’s a good idea to keep liquids away from laptops or use a spill-proof travel mug.  Hard drives have moving parts that can experience mechanical failure due to wearing out, overheating, electrostatic discharge, or being dropped. They can also fail due to file corruption, improper drive formatting, or software corruption. Hard drives may fail and experience data loss suddenly, or they may show signs of slowly failing, such as crashing repeatedly, becoming increasingly slow or making unusual noises. Creating regular data backups of hard drive data helps protect against this form of data loss. For example, an individual might back up her personal files from her desktop computer to both an external hard drive and the cloud. Having the data stored in three places that face different risks minimizes the risk of total data loss.   Data Loss: The Human Element   A major threat of data loss for businesses comes from employees who aren’t aware of the risks they are taking. Companies need a way to control how their data is shared by monitoring and protecting business documents whenever and wherever employees are using, storing, or transmitting them, whether in email attachments, via smartphone, on laptops, on flash drives, or in cloud storage, to protect against data loss. Preventing data loss is important for companies to protect their privacy and intellectual property as well as comply with government regulations. Organizations can employ data loss prevention (DLP) features in software from providers like Google and Microsoft to protect against data loss. There are also data loss prevention suites from providers such as Clearswift, Symantec, Digital Guardian, Forcepoint, McAfee, among others.

Data Management Language
(DML)
1. Any language for manipulating data or files,
e.g. {IBM}'s {Distributed Data Management} (DDM).
2. An early {ALGOL}-like language with lists and graphics,
that ran on the {Honeywell 635}.
["DML: A Data Management Language", D.W. Bray et al, GE,
Syracuse NY].
(1999-06-07)


Data Management Language ::: (language) (DML)1. Any language for manipulating data or files, e.g. IBM's Distributed Data Management (DDM).2. An early ALGOL-like language with lists and graphics, that ran on the Honeywell 635.[DML: A Data Management Language, D.W. Bray et al, GE, Syracuse NY]. (1999-06-07)

Data Manipulation Language
database> (DML, or {Data Management Language}) A
language for the manipulation of data in a {database} by
applications and/or directly by end-users.
{SQL} contains DML commands such as INSERT, UPDATE, and
DELETE.
See also {Data Definition Language} (DDL).
(1999-04-26)


Data Manipulation Language ::: (language, database) (DML, or Data Management Language) A language for the manipulation of data in a database by applications and/or directly by end-users.SQL contains DML commands such as INSERT, UPDATE, and DELETE.See also Data Definition Language (DDL). (1999-04-26)

Datamatic Corporation
{Honeywell}


Datamation
/day"t*-may"sh*n/ A magazine that many hackers assume all
{suits} read. Used to question an unbelieved quote, as in
"Did you read that in "Datamation?"" It used to publish
something hackishly funny every once in a while, like the
original paper on {COME FROM} in 1973, and Ed Post's "Real
Programmers Don't Use Pascal" ten years later, but it has
since become much more exclusively {suit}-oriented and boring.
[{Jargon File}]


Datamation ::: /dayt*-maysh*n/ A magazine that many hackers assume all suits read. Used to question an unbelieved quote, as in Did you read that in Datamation? It used ten years later, but it has since become much more exclusively suit-oriented and boring.[Jargon File]

Data Over Cable Service Interface Specification
(DOCSIS) {ITU}-approved interface
requirements for {cable modems} involved in high-speed data
distribution over a {cable television} network. DOCSIS
compatible equipment uses a 6 MHz {carrier} band for
{downstream}, using 64 and 256 {QAM} (ITU Annex B), and {QPSK}
and 16 QAM for {upstream}, allowing up to 36 and 10 Mb/s,
respectively for downstream and upstream channels.
{CableLabs FAQ (http://cablemodem.com/FAQs.html)}.
(2001-07-10)


Data Over Cable Service Interface Specification ::: (communications, networking) (DOCSIS) ITU-approved interface requirements for cable modems involved in high-speed data distribution over a cable upstream, allowing up to 36 and 10 Mb/s, respectively for downstream and upstream channels. .(2001-07-10)

Data Over Cable Systems Interface Specifications
{Data Over Cable Service Interface Specification}


Dataparallel-C
{C} with {parallel} extensions by Hatcher
and Quinn of the University of New Hampshire. Dataparallel-C
was based on an early version of {C*} and runs on the {Intel}
{iPSC-2} and {nCube}.


Dataparallel-C ::: (language, parallel) C with parallel extensions by Hatcher and Quinn of the University of New Hampshire. Dataparallel-C was based on an early version of C* and runs on the Intel iPSC-2 and nCube.

Data Parallel Haskell
Adds Parallel Objects with arbitrary
Dimension (PODs) and POD comprehensions to Haskell.
{(ftp://redstar.dcs.qmw.ac.uk/cpc/jon_hill/dpGlue.ps.Z)}.
["Data Parallel Haskell: Mixing Old and New Glue", J. Hill].
(1995-03-30)


Data Parallel Haskell ::: (language, parallel) Adds Parallel Objects with arbitrary Dimension (PODs) and POD comprehensions to Haskell. .[Data Parallel Haskell: Mixing Old and New Glue, J. Hill]. (1995-03-30)

Dataphone Digital Service
(DDS) The first private-line digital
service offered by {AT&T}, with data rates typically at 2.4,
4.8, 9.6 and 56 kilobits per second. DDS is now part of
AT&T's {Accunet} family of services. Most LEC (local exchange
carriers) and IXC (IntereXchange Carriers) offer similar
services.
(1995-02-28)


Dataphone Digital Service ::: (communications, product) (DDS) The first private-line digital service offered by AT&T, with data rates typically at 2.4, 4.8, 9.6 and 56 kilobits per second. DDS is now part of AT&T's Accunet family of services. Most LEC (local exchange carriers) and IXC (IntereXchange Carriers) offer similar services. (1995-02-28)

DataPoint
An early {minicomputer} manufacturer which also
developed {ARCnet}.
(2004-08-25)


DataPoint ::: (company) An early minicomputer manufacturer which also developed ARCnet.(2004-08-25)

Data Protection Act
(DPA) A UK law guaranteeing rights to individuals in
relation to personal data that others hold on them. For
example, under the DPA, you have the right to see what data a
company holds on you.
(2007-06-17)


Data_science ::: is a field of Big Data geared toward providing meaningful information based on large amounts of complex data. Data science, or data-driven science, combines different fields of work in statistics and computation in order to interpret data for the purpose of decision making.  BREAKING DOWN 'Data Science'  Data is drawn from different sectors and platforms including cell phones, social media, e-commerce sites, healthcare surveys, internet searches, etc. The increase in the amount of data available opened the door to a new field of study called Big Data — or the extremely large data sets that can help produce better operational tools in all sectors. The continually increasing sets of and easy access to data are made possible by a collaboration of companies known as fintech, which use technology to innovate and enhance traditional financial products and services. The data produced creates even more data which is easily shared across entities thanks to emergent fintech products like cloud computing and storage. However, the interpretation of vast amounts of unstructured data for effective decision making may prove too complex and time consuming for companies, hence the emergence of data science.

Data science - the extraction of knowledge from large volumes of data that are structured or unstructured, which is a continuation of the field data mining and predictive analytics, also known as knowledge discovery and data mining. See /r/datascience

DataStage ::: (database, tool) A tool set for designing, developing, and running applications that populate one or more tables in a data warehouse or data mart.[Reference]?(2004-06-23)

DataStage
<database, tool> A tool set for designing, developing, and
running {applications} that populate one or more {tables} in a
{data warehouse} or {data mart}.
[Reference]?
(2004-06-23)


Datastorm Technologies, Inc.
The original suppliers of {Procomm}.
Address: Columbia MO, USA.
(2004-06-29)


Datastorm Technologies, Inc. ::: (company) The original suppliers of Procomm.Address: Columbia MO, USA.(2004-06-29)

Data Structures Language
A dialect of {MAD} with extensions for lists and
graphics, on {Philco 212}.
["A Compiler Language for Data Structures", N. Laurance, Proc
ACM 23rd Natl Conf 36 (1968)].
(1995-02-28)


Data Structures Language ::: (language) A dialect of MAD with extensions for lists and graphics, on Philco 212.[A Compiler Language for Data Structures, N. Laurance, Proc ACM 23rd Natl Conf 36 (1968)]. (1995-02-28)

Data Terminal Equipment
(DTE) A device which acts as the
source and/or destination of data and which controls the
communication channel. DTE includes terminals, computers,
{protocol converters}, and {multiplexors}.
DTE is usually connected via an {EIA-232} {serial line} to
{Data Communication Equipment} (DCE), typically a {modem}. It
is necessary to distinguish these two types of device because
their connectors must be wired differently if a
"straight-through" cable (pin 1 to pin 1, pin 2 to pin 2 etc.)
is to be used. DTE should have a male connector and should
transmit on pin three and receive on pin two. It is a curious
fact that many {modems} are actually "DTE" according to the
original standard.
(1995-02-28)


Data Terminal Equipment ::: (communications, hardware) (DTE) A device which acts as the source and/or destination of data and which controls the communication channel. DTE includes terminals, computers, protocol converters, and multiplexors.DTE is usually connected via an EIA-232 serial line to Data Communication Equipment (DCE), typically a modem. It is necessary to distinguish these two pin two. It is a curious fact that many modems are actually DTE according to the original standard. (1995-02-28)

Data Terminal Ready
(DTR) The wire in a full {RS-232} connection
that tells the {Data Communication Equipment} (DCE, typically
a {modem}) that the {Data Terminal Equipment} (DTE, typically
a computer or {terminal}) is ready to transmit and receive
data.
(2000-04-05)


Data Terminal Ready ::: (communications) (DTR) The wire in a full RS-232 connection that tells the Data Communication Equipment (DCE, typically a modem) that the Data Terminal Equipment (DTE, typically a computer or terminal) is ready to transmit and receive data.(2000-04-05)

DATA-TEXT
A system from {Harvard} for numerical computations in
the Social Sciences.
["DATA-TEXT Primer", D.J. Armor, Free Press 1972].
(1994-12-06)


DATA-TEXT ::: (tool) A system from Harvard for numerical computations in the Social Sciences.[DATA-TEXT Primer, D.J. Armor, Free Press 1972]. (1994-12-06)

DATATRIEVE ::: A query and report system for use with DEC's VMS system (RMS, VAX Rdb/VMS or VAX DBMS).

DATATRIEVE
<database, language> A query and report system for use with
{DEC}'s {VMS} ({RMS}, {VAX Rdb}/VMS or {VAX DBMS}).
(2007-01-16)


Datatron 200 series
A family of computers produced by {Burroughs} that
included the {Datatron 204} and {Datatron 220}.
(2007-01-16)


DataViews
{Graphical user interface} development software from
{V.I.Corporation}, aimed at constructing
{platform}-independent interactive views of dynamic data.
(1994-12-07)


DataViews ::: Graphical user interface development software from V.I.Corporation, aimed at constructing platform-independent interactive views of dynamic data. (1994-12-07)

DataVis ::: A dataflow language for scientific visualisation.[Data Flow Visual Programming Languages, D. Hils, J Vis Langs and Comput, Dec 1991]. (1994-12-06)

DataVis
A {dataflow} language for scientific {visualisation}.
["Data Flow Visual Programming Languages", D. Hils, J Vis
Langs and Comput, Dec 1991].
(1994-12-06)


Data: When capitalized, refers to the Technocratic version of the Correspondence Sphere. The Data Principle (or Sphere) employs information as a bridge between people, locations, and events.



QUOTES [18 / 18 - 500 / 4087]


KEYS (10k)

   8 Sri Aurobindo
   2 The Mother
   2 James S A Corey
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   1 William Gibson
   1 Nikola Tesla
   1 Ken Wilber
   1 Harold Abelson
   1 Aleister Crowley

NEW FULL DB (2.4M)

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   4 Edward R Tufte
   4 David Weinberger
   4 Bren Brown
   3 Tim O Reilly

1:The data of the senses can bring us, is not true knowledge; it is a science of appearances. ~ Sri Aurobindo, The Synthesis Of Yoga, The Status of Knowledge,
2:No knowledge can be true knowledge which subjects itself to the senses or uses them otherwise than as first indices whose data have constantly to be corrected and overpassed. ~ Sri Aurobindo, The Synthesis Of Yoga, The Purified Understanding,
3:Faith is a support from above; it is the brilliant shadow thrown by a secret light that exceeds the intellect and its data; it is the heart of a hidden knowledge that is not at the mercy of immediate appearances. ~ Sri Aurobindo, The Synthesis Of Yoga, The Master of the Work,
4:Intuition is born of a direct awareness while intellect is an indirect action of a knowledge which constructs itself with difficulty out of the unknown from signs and indications and gathered data. ~ Sri Aurobindo, The Life Divine, Brahman, Purusha, Ishwara - Maya, Prakriti, Shakti,
5:Computational processes are abstract beings that inhabit computers. As they evolve, processes manipulate other abstract things called data. The evolution of a process is directed by a pattern of rules called a program. People create programs to direct processes. In effect, we conjure the spirits of the computer with our spells. ~ Harold Abelson, Structure and Interpretation of Computer Programs,
6:Cyberspace. A consensual hallucination experienced daily by billions of legitimate operators, in every nation, by children being taught mathematical concepts... A graphic representation of data abstracted from banks of every computer in the human system. Unthinkable complexity. Lines of light ranged in the nonspace of the mind, clusters and constellations of data. Like city lights, receding... ~ William Gibson,
7:The intellectual understanding is only the lower buddhi; there is another and a higher buddhi which is not intelligence but vision, is not understanding but rather an over-standings in knowledge, and does not seek knowledge and attain it in subjection to the data it observes but possesses already the truth and brings it out in the terms of a revelatory and intuitional thought.
   ~ Sri Aurobindo, The Synthesis Of Yoga,
8:In the past, censorship worked by blocking the flow of information. In the twenty-first century, censorship works by flooding people with irrelevant information. People just don't know what to pay attention to, and they often spend their time investigating and debating side issues. In ancient times having power meant having access to data. Today having power means knowing what to ignore. ~ Yuval Noah Harari, Homo Deus,
9:In researching this problem, I did an extensive data search of several hundred hierarchies, taken from systems theory, ecological science, Kabalah, developmental psychology, Yo-gachara Buddhism, moral development, biological evolution, Vedanta Hinduism, Neo-Confucianism, cosmic and stellar evolution, Hwa Yen, the Neoplatonic corpus-an entire spectrum of premodern, modern, and postmodern nests.
   ~ Ken Wilber, Marriage of Sense and Soul, 1998,
10:Only, in all he sees God, sees the supreme reality, and his motive of work is to help mankind towards the knowledge of God and the possession of the supreme reality. He sees God through the data of science, God through the conclusions of philosophy, God through the forms of Beauty and the forms of Good, God in all the activities of life, God in the past of the world and its effects, in the present and its tendencies, in the future and its great progression. Into any or all of these he can bring his illumined vision and his liberated power of the spirit. The lower knowledge has been the step from which he has risen to the higher; the higher illumines for him the lower and makes it part of itself, even if only its lower fringe and most external radiation.
   ~ Sri Aurobindo, The Synthesis Of Yoga, The Higher and the Lower Knowledge,
11:understanding fails when pulled down by lower movements ::: By the understanding we mean that which at once perceives, judges and discriminates, the true reason of the human beingnot subservient to the senses, to desire or to the blind force of habit, but working in its own right for mastery, for knowledge. Certainly, the reason of man as he is at present does not even at its best act entirely in this free and sovereign fashion; but so far as it fails, it fails because it is still mixed with the lower half-animal action, because it is impure and constantly hampered and pulled down from its characteristic action. In its purity it should not be involved in these lower movements, but stand back from the object, and observe disinterestedly, put it in its right place in the whole by force of comparison, contrast, analogy, reason from its rightly observed data by deduction, induction, inference and holding all its gains in memory and supplementing them by a chastened and rightly-guided imagination view all in the light of a trained and disciplined judgment. Such is the pure intellectual understanding of which disinterested observation, judgment and reasoning are the law and characterising action.
   ~ Sri Aurobindo, The Synthesis Of Yoga, The Yoga of Knowledge, The Purified Understanding,
12:"So," she said. "I've been thinking of it as a computing problem. If the virus or nanomachine or protomolecule or whatever was designed, it has a purpose, right?"
"Definitely," Holden said.
"And it seems like it's trying to do something-something complex. It doesn't make sense to go to all that trouble just to kill people. Those changes it makes look intentional, just... not complete, to me."
"I can see that," Holden said. Alex and Amos nodded along with him but stayed quiet.
"So maybe the issue is that the protomolecule isn't smart enough yet. You can compress a lot of data down pretty small, but unless it's a quantum computer, processing takes space. The easiest way to get that processing in tiny machines is through distribution. Maybe the protomolecule isn't finishing its job because it just isn't smart enough to. Yet."
"Not enough of them," Alex said.
"Right," Naomi said, dropping the towel into a bin under the sink. "So you give them a lot of biomass to work with, and see what it is they are ultimately made to do."
"According to that guy in the video, they were made to hijack life on Earth and wipe us out," Miller said.
"And that," Holden said, "is why Eros is perfect. Lots of biomass in a vacuum-sealed test tube. And if it gets out of hand, there's already a war going on. A lot of ships and missiles can be used for nuking Eros into glass if the threat seems real. Nothing to make us forget our differences like a new player butting in." ~ James S A Corey, Leviathan Wakes,
13:39 - Sometimes one is led to think that only those things really matter which have never happened; for beside them most historic achievements seem almost pale and ineffective. - Sri Aurobindo

I would like to have an explanation of this aphorism.

Sri Aurobindo, who had made a thorough study of history, knew how uncertain are the data which have been used to write it. Most often the accuracy of the documents is doubtful, and the information they supply is poor, incomplete, trivial and frequently distorted. As a whole, the official version of human history is nothing but a long, almost unbroken record of violent aggressions: wars, revolutions, murders or colonisations. True, some of these aggressions and massacres have been adorned with flattering terms and epithets; they have been called religious wars, holy wars, civilising campaigns; but they nonetheless remain acts of greed or vengeance.

Rarely in history do we find the description of a cultural, artistic or philosophical outflowering.

That is why, as Sri Aurobindo says, all this makes a rather dismal picture without any deep significance. On the other hand, in the legendary accounts of things which may never have existed on earth, of events which have not been declared authentic by "official" knowledge, of wonderful individuals whose existence is doubted by the scholars in their dried-up wisdom, we find the crystallisation of all the hopes and aspirations of man, his love of the marvellous, the heroic and the sublime, the description of everything he would like to be and strives to become.

That, more or less, is what Sri Aurobindo means in his aphorism.
22 June 1960 ~ The Mother, On Thoughts And Aphorisms, volume-10, page no.62),
14:My method is different. I do not rush into actual work. When I get an idea, I start at once building it up in my imagination. I change the construction, make improvements and operate the device in my mind. It is absolutely immaterial to me whether I run my turbine in thought or test it in my shop. I even note if it is out of balance. There is no difference whatever; the results are the same. In this way I am able to rapidly develop and perfect a conception without touching anything. When I have gone so far as to embody in the invention every possible improvement I can think of and see no fault anywhere, I put into concrete form this final product of my brain. Invariably my device works as I conceived that it should, and the experiment comes out exactly as I planned it. In twenty years there has not been a single exception. Why should it be otherwise? Engineering, electrical and mechanical, is positive in results. There is scarcely a subject that cannot be examined beforehand, from the available theoretical and practical data. The carrying out into practice of a crude idea as is being generally done, is, I hold, nothing but a waste of energy, money, and time. My early affliction had however, another compensation. The incessant mental exertion developed my powers of observation and enabled me to discover a truth of great importance. I had noted that the appearance of images was always preceded by actual vision of scenes under peculiar and generally very exceptional conditions, and I was impelled on each occasion to locate the original impulse. After a while this effort grew to be almost automatic and I gained great facility in connecting cause and effect. Soon I became aware, to my surprise, that every thought I conceived was suggested by an external impression. Not only this but all my actions were prompted in a similar way. In the course of time it became perfectly evident to me that I was merely an automation endowed with power OF MOVEMENT RESPONDING TO THE STIMULI OF THE SENSE ORGANS AND THINKING AND ACTING ACCORDINGLY.

   ~ Nikola Tesla, The Strange Life of Nikola Tesla,
15:The Teachings of Some Modern Indian Yogis
Ramana Maharshi
According to Brunton's description of the sadhana he (Brunton) practised under the Maharshi's instructions,1 it is the Overself one has to seek within, but he describes the Overself in a way that is at once the Psychic Being, the Atman and the Ishwara. So it is a little difficult to know what is the exact reading.
*
The methods described in the account [of Ramana Maharshi's technique of self-realisation] are the well-established methods of Jnanayoga - (1) one-pointed concentration followed by thought-suspension, (2) the method of distinguishing or finding out the true self by separating it from mind, life, body (this I have seen described by him [Brunton] more at length in another book) and coming to the pure I behind; this also can disappear into the Impersonal Self. The usual result is a merging in the Atman or Brahman - which is what one would suppose is meant by the Overself, for it is that which is the real Overself. This Brahman or Atman is everywhere, all is in it, it is in all, but it is in all not as an individual being in each but is the same in all - as the Ether is in all. When the merging into the Overself is complete, there is no ego, no distinguishable I, or any formed separative person or personality. All is ekakara - an indivisible and undistinguishable Oneness either free from all formations or carrying all formations in it without being affected - for one can realise it in either way. There is a realisation in which all beings are moving in the one Self and this Self is there stable in all beings; there is another more complete and thoroughgoing in which not only is it so but all are vividly realised as the Self, the Brahman, the Divine. In the former, it is possible to dismiss all beings as creations of Maya, leaving the one Self alone as true - in the other it is easier to regard them as real manifestations of the Self, not as illusions. But one can also regard all beings as souls, independent realities in an eternal Nature dependent upon the One Divine. These are the characteristic realisations of the Overself familiar to the Vedanta. But on the other hand you say that this Overself is realised by the Maharshi as lodged in the heart-centre, and it is described by Brunton as something concealed which when it manifests appears as the real Thinker, source of all action, but now guiding thought and action in the Truth. Now the first description applies to the Purusha in the heart, described by the Gita as the Ishwara situated in the heart and by the Upanishads as the Purusha Antaratma; the second could apply also to the mental Purusha, manomayah. pran.asarı̄ra neta of the Upanishads, the mental Being or Purusha who leads the life and the body. So your question is one which on the data I cannot easily answer. His Overself may be a combination of all these experiences, without any distinction being made or thought necessary between the various aspects. There are a thousand ways of approaching and realising the Divine and each way has its own experiences which have their own truth and stand really on a basis, one in essence but complex in aspects, common to all, but not expressed in the same way by all. There is not much use in discussing these variations; the important thing is to follow one's own way well and thoroughly. In this Yoga, one can realise the psychic being as a portion of the Divine seated in the heart with the Divine supporting it there - this psychic being takes charge of the sadhana and turns the ......
1 The correspondent sent to Sri Aurobindo two paragraphs from Paul Brunton's book A Message from Arunachala (London: Rider & Co., n.d. [1936], pp. 205 - 7). - Ed. ~ Sri Aurobindo, Letters On Yoga - II,
16:Of course we do." Dresden's voice was cutting. "But you're thinking too small. Building humanity's greatest empire is like building the world's largest anthill. Insignificant. There is a civilization out there that built the protomolecule and hurled it at us over two billion years ago. They were already gods at that point. What have they become since then? With another two billion years to advance?"
With a growing dread, Holden listened to Dresden speak. This speech had the air of something spoken before. Perhaps many times. And it had worked. It had convinced powerful people. It was why Protogen had stealth ships from the Earth shipyards and seemingly limitless behind-the-scenes support.
"We have a terrifying amount of catching up to do, gentlemen," Dresden was saying. "But fortunately we have the tool of our enemy to use in doing it."
"Catching up?" a soldier to Holden's left said. Dresden nodded at the man and smiled.
"The protomolecule can alter the host organism at the molecular level; it can create genetic change on the fly. Not just DNA, but any stable replicatoR But it is only a machine. It doesn't think. It follows instructions. If we learn how to alter that programming, then we become the architects of that change."
Holden interrupted. "If it was supposed to wipe out life on Earth and replace it with whatever the protomolecule's creators wanted, why turn it loose?"
"Excellent question," Dresden said, holding up one finger like a college professor about to deliver a lecture. "The protomolecule doesn't come with a user's manual. In fact, we've never before been able to actually watch it carry out its program. The molecule requires significant mass before it develops enough processing power to fulfill its directives. Whatever they are."
Dresden pointed at the screens covered with data around them.
"We are going to watch it at work. See what it intends to do. How it goes about doing it. And, hopefully, learn how to change that program in the process."
"You could do that with a vat of bacteria," Holden said.
"I'm not interested in remaking bacteria," Dresden said.
"You're fucking insane," Amos said, and took another step toward Dresden. Holden put a hand on the big mechanic's shoulder.
"So," Holden said. "You figure out how the bug works, and then what?"
"Then everything. Belters who can work outside a ship without wearing a suit. Humans capable of sleeping for hundreds of years at a time flying colony ships to the stars. No longer being bound to the millions of years of evolution inside one atmosphere of pressure at one g, slaves to oxygen and water. We decide what we want to be, and we reprogram ourselves to be that. That's what the protomolecule gives us."

Dresden had stood back up as he'd delivered this speech, his face shining with the zeal of a prophet.
"What we are doing is the best and only hope of humanity's survival. When we go out there, we will be facing gods."
"And if we don't go out?" Fred asked. He sounded thoughtful.
"They've already fired a doomsday weapon at us once," Dresden said.
The room was silent for a moment. Holden felt his certainty slip. He hated everything about Dresden's argument, but he couldn't quite see his way past it. He knew in his bones that something about it was dead wrong, but he couldn't find the words. Naomi's voice startled him.
"Did it convince them?" she asked.
"Excuse me?" Dresden said.
"The scientists. The technicians. Everyone you needed to make it happen. They actually had to do this. They had to watch the video of people dying all over Eros. They had to design those radioactive murder chambers. So unless you managed to round up every serial killer in the solar system and send them through a postgraduate program, how did you do this?"
"We modified our science team to remove ethical restraints."
Half a dozen clues clicked into place in Holden's head. ~ James S A Corey, Leviathan Wakes,
17:SECTION 1. Books for Serious Study
   Liber CCXX. (Liber AL vel Legis.) The Book of the Law. This book is the foundation of the New Æon, and thus of the whole of our work.
   The Equinox. The standard Work of Reference in all occult matters. The Encyclopaedia of Initiation.
   Liber ABA (Book 4). A general account in elementary terms of magical and mystical powers. In four parts: (1) Mysticism (2) Magical (Elementary Theory) (3) Magick in Theory and Practice (this book) (4) The Law.
   Liber II. The Message of the Master Therion. Explains the essence of the new Law in a very simple manner.
   Liber DCCCXXXVIII. The Law of Liberty. A further explanation of The Book of the Law in reference to certain ethical problems.
   Collected Works of A. Crowley. These works contain many mystical and magical secrets, both stated clearly in prose, and woven into the Robe of sublimest poesy.
   The Yi King. (S. B. E. Series [vol. XVI], Oxford University Press.) The "Classic of Changes"; give the initiated Chinese system of Magick.
   The Tao Teh King. (S. B. E. Series [vol. XXXIX].) Gives the initiated Chinese system of Mysticism.
   Tannhäuser, by A. Crowley. An allegorical drama concerning the Progress of the Soul; the Tannhäuser story slightly remodelled.
   The Upanishads. (S. B. E. Series [vols. I & XV.) The Classical Basis of Vedantism, the best-known form of Hindu Mysticism.
   The Bhagavad-gita. A dialogue in which Krishna, the Hindu "Christ", expounds a system of Attainment.
   The Voice of the Silence, by H.P. Blavatsky, with an elaborate commentary by Frater O.M. Frater O.M., 7°=48, is the most learned of all the Brethren of the Order; he has given eighteen years to the study of this masterpiece.
   Raja-Yoga, by Swami Vivekananda. An excellent elementary study of Hindu mysticism. His Bhakti-Yoga is also good.
   The Shiva Samhita. An account of various physical means of assisting the discipline of initiation. A famous Hindu treatise on certain physical practices.
   The Hathayoga Pradipika. Similar to the Shiva Samhita.
   The Aphorisms of Patanjali. A valuable collection of precepts pertaining to mystical attainment.
   The Sword of Song. A study of Christian theology and ethics, with a statement and solution of the deepest philosophical problems. Also contains the best account extant of Buddhism, compared with modern science.
   The Book of the Dead. A collection of Egyptian magical rituals.
   Dogme et Rituel de la Haute Magie, by Eliphas Levi. The best general textbook of magical theory and practice for beginners. Written in an easy popular style.
   The Book of the Sacred Magic of Abramelin the Mage. The best exoteric account of the Great Work, with careful instructions in procedure. This Book influenced and helped the Master Therion more than any other.
   The Goetia. The most intelligible of all the mediæval rituals of Evocation. Contains also the favourite Invocation of the Master Therion.
   Erdmann's History of Philosophy. A compendious account of philosophy from the earliest times. Most valuable as a general education of the mind.
   The Spiritual Guide of [Miguel de] Molinos. A simple manual of Christian Mysticism.
   The Star in the West. (Captain Fuller). An introduction to the study of the Works of Aleister Crowley.
   The Dhammapada. (S. B. E. Series [vol. X], Oxford University Press). The best of the Buddhist classics.
   The Questions of King Milinda. (S. B. E. Series [vols. XXXV & XXXVI].) Technical points of Buddhist dogma, illustrated bydialogues.
   Liber 777 vel Prolegomena Symbolica Ad Systemam Sceptico-Mysticæ Viæ Explicandæ, Fundamentum Hieroglyphicam Sanctissimorum Scientiæ Summæ. A complete Dictionary of the Correspondences of all magical elements, reprinted with extensive additions, making it the only standard comprehensive book of reference ever published. It is to the language of Occultism what Webster or Murray is to the English language.
   Varieties of Religious Experience (William James). Valuable as showing the uniformity of mystical attainment.
   Kabbala Denudata, von Rosenroth: also The Kabbalah Unveiled, by S.L. Mathers. The text of the Qabalah, with commentary. A good elementary introduction to the subject.
   Konx Om Pax [by Aleister Crowley]. Four invaluable treatises and a preface on Mysticism and Magick.
   The Pistis Sophia [translated by G.R.S. Mead or Violet McDermot]. An admirable introduction to the study of Gnosticism.
   The Oracles of Zoroaster [Chaldæan Oracles]. An invaluable collection of precepts mystical and magical.
   The Dream of Scipio, by Cicero. Excellent for its Vision and its Philosophy.
   The Golden Verses of Pythagoras, by Fabre d'Olivet. An interesting study of the exoteric doctrines of this Master.
   The Divine Pymander, by Hermes Trismegistus. Invaluable as bearing on the Gnostic Philosophy.
   The Secret Symbols of the Rosicrucians, reprint of Franz Hartmann. An invaluable compendium.
   Scrutinium Chymicum [Atalanta Fugiens]¸ by Michael Maier. One of the best treatises on alchemy.
   Science and the Infinite, by Sidney Klein. One of the best essays written in recent years.
   Two Essays on the Worship of Priapus [A Discourse on the Worship of Priapus &c. &c. &c.], by Richard Payne Knight [and Thomas Wright]. Invaluable to all students.
   The Golden Bough, by J.G. Frazer. The textbook of Folk Lore. Invaluable to all students.
   The Age of Reason, by Thomas Paine. Excellent, though elementary, as a corrective to superstition.
   Rivers of Life, by General Forlong. An invaluable textbook of old systems of initiation.
   Three Dialogues, by Bishop Berkeley. The Classic of Subjective Idealism.
   Essays of David Hume. The Classic of Academic Scepticism.
   First Principles by Herbert Spencer. The Classic of Agnosticism.
   Prolegomena [to any future Metaphysics], by Immanuel Kant. The best introduction to Metaphysics.
   The Canon [by William Stirling]. The best textbook of Applied Qabalah.
   The Fourth Dimension, by [Charles] H. Hinton. The best essay on the subject.
   The Essays of Thomas Henry Huxley. Masterpieces of philosophy, as of prose.
   ~ Aleister Crowley, Liber ABA, Appendix I: Literature Recommended to Aspirants
18:
   Can a Yogi attain to a state of consciousness in which he can know all things, answer all questions, relating even to abstruse scientific problems, such as, for example, the theory of relativity?


Theoretically and in principle it is not impossible for a Yogi to know everything; all depends upon the Yogi.

   But there is knowledge and knowledge. The Yogi does not know in the way of the mind. He does not know everything in the sense that he has access to all possible information or because he contains all the facts of the universe in his mind or because his consciousness is a sort of miraculous encyclopaedia. He knows by his capacity for a containing or dynamic identity with things and persons and forces. Or he knows because he lives in a plane of consciousness or is in contact with a consciousness in which there is the truth and the knowledge.

   If you are in the true consciousness, the knowledge you have will also be of the truth. Then, too, you can know directly, by being one with what you know. If a problem is put before you, if you are asked what is to be done in a particular matter, you can then, by looking with enough attention and concentration, receive spontaneously the required knowledge and the true answer. It is not by any careful application of theory that you reach the knowledge or by working it out through a mental process. The scientific mind needs these methods to come to its conclusions. But the Yogi's knowledge is direct and immediate; it is not deductive. If an engineer has to find out the exact position for the building of an arch, the line of its curve and the size of its opening, he does it by calculation, collating and deducing from his information and data. But a Yogi needs none of these things; he looks, has the vision of the thing, sees that it is to be done in this way and not in another, and this seeing is his knowledge.

   Although it may be true in a general way and in a certain sense that a Yogi can know all things and can answer all questions from his own field of vision and consciousness, yet it does not follow that there are no questions whatever of any kind to which he would not or could not answer. A Yogi who has the direct knowledge, the knowledge of the true truth of things, would not care or perhaps would find it difficult to answer questions that belong entirely to the domain of human mental constructions. It may be, he could not or would not wish to solve problems and difficulties you might put to him which touch only the illusion of things and their appearances. The working of his knowledge is not in the mind. If you put him some silly mental query of that character, he probably would not answer. The very common conception that you can put any ignorant question to him as to some super-schoolmaster or demand from him any kind of information past, present or future and that he is bound to answer, is a foolish idea. It is as inept as the expectation from the spiritual man of feats and miracles that would satisfy the vulgar external mind and leave it gaping with wonder.

   Moreover, the term "Yogi" is very vague and wide. There are many types of Yogis, many lines or ranges of spiritual or occult endeavour and different heights of achievement, there are some whose powers do not extend beyond the mental level; there are others who have gone beyond it. Everything depends on the field or nature of their effort, the height to which they have arrived, the consciousness with which they have contact or into which they enter.

   Do not scientists go sometimes beyond the mental plane? It is said that Einstein found his theory of relativity not through any process of reasoning, but through some kind of sudden inspiration. Has that inspiration anything to do with the Supermind?

The scientist who gets an inspiration revealing to him a new truth, receives it from the intuitive mind. The knowledge comes as a direct perception in the higher mental plane illumined by some other light still farther above. But all that has nothing to do with the action of Supermind and this higher mental level is far removed from the supramental plane. Men are too easily inclined to believe that they have climbed into regions quite divine when they have only gone above the average level. There are many stages between the ordinary human mind and the Supermind, many grades and many intervening planes. If an ordinary man were to get into direct contact even with one of these intermediate planes, he would be dazzled and blinded, would be crushed under the weight of the sense of immensity or would lose his balance; and yet it is not the Supermind.

   Behind the common idea that a Yogi can know all things and answer all questions is the actual fact that there is a plane in the mind where the memory of everything is stored and remains always in existence. All mental movements that belong to the life of the earth are memorised and registered in this plane. Those who are capable of going there and care to take the trouble, can read in it and learn anything they choose. But this region must not be mistaken for the supramental levels. And yet to reach even there you must be able to silence the movements of the material or physical mind; you must be able to leave aside all your sensations and put a stop to your ordinary mental movements, whatever they are; you must get out of the vital; you must become free from the slavery of the body. Then only you can enter into that region and see. But if you are sufficiently interested to make this effort, you can arrive there and read what is written in the earth's memory.

   Thus, if you go deep into silence, you can reach a level of consciousness on which it is not impossible for you to receive answers to all your questions. And if there is one who is consciously open to the plenary truth of the supermind, in constant contact with it, he can certainly answer any question that is worth an answer from the supramental Light. The queries put must come from some sense of the truth and reality behind things. There are many questions and much debated problems that are cobwebs woven of mere mental abstractions or move on the illusory surface of things. These do not pertain to real knowledge; they are a deformation of knowledge, their very substance is of the ignorance. Certainly the supramental knowledge may give an answer, its own answer, to the problems set by the mind's ignorance; but it is likely that it would not be at all satisfactory or perhaps even intelligible to those who ask from the mental level. You must not expect the supramental to work in the way of the mind or demand that the knowledge in truth should be capable of being pieced together with the half-knowledge in ignorance. The scheme of the mind is one thing, but Supermind is quite another and it would no longer be supramental if it adapted itself to the exigencies of the mental scheme. The two are incommensurable and cannot be put together.

   When the consciousness has attained to supramental joys, does it no longer take interest in the things of the mind?

The supramental does not take interest in mental things in the same way as the mind. It takes its own interest in all the movements of the universe, but it is from a different point of view and with a different vision. The world presents to it an entirely different appearance; there is a reversal of outlook and everything is seen from there as other than what it seems to the mind and often even the opposite. Things have another meaning; their aspect, their motion and process, everything about them, are watched with other eyes. Everything here is followed by the supermind; the mind movements and not less the vital, the material movements, all the play of the universe have for it a very deep interest, but of another kind. It is about the same difference as that between the interest taken in a puppet-play by one who holds the strings and knows what the puppets are to do and the will that moves them and that they can do only what it moves them to do, and the interest taken by another who observes the play but sees only what is happening from moment to moment and knows nothing else. The one who follows the play and is outside its secret has a stronger, an eager and passionate interest in what will happen and he gives an excited attention to its unforeseen or dramatic events; the other, who holds the strings and moves the show, is unmoved and tranquil. There is a certain intensity of interest which comes from ignorance and is bound up with illusion, and that must disappear when you are out of the ignorance. The interest that human beings take in things founds itself on the illusion; if that were removed, they would have no interest at all in the play; they would find it dry and dull. That is why all this ignorance, all this illusion has lasted so long; it is because men like it, because they cling to it and its peculiar kind of appeal that it endures.

   ~ The Mother, Questions And Answers 1929-1931, 93?
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*** NEWFULLDB 2.4M ***

1:database. Another ~ Marissa Meyer
2:data outlives code. ~ Martin Kleppmann
3:美国政府创建了Data.gov网站,为大数据敞开了大门 ~ Anonymous
4:Metadata is the new wealth ~ Kevin Kelly
5:To clarify, *add* data. ~ Edward R Tufte
6:USA FOOD CONSUMPTION DATA ~ Joel Fuhrman
7:Everything’s a data point. ~ Paul McAuley
8:big data is usually dumb data. ~ Anonymous
9:Data is not intelligence. ~ William Binney
10:development of data standards, ~ Anonymous
11:What we have is a data glut. ~ Vernor Vinge
12:Data is the next Intel Inside. ~ Tim O Reilly
13:Data Is Useless Without Context ~ Nate Silver
14:You can’t samba in a data stream, ~ Anonymous
15:Above all else show the data. ~ Edward R Tufte
16:What do the current data show? ~ Jason L Riley
17:Who has the data has the power. ~ Tim O Reilly
18:Hate is love without enough data. ~ Richard Bach
19:You can only analyze the data you ~ Marie Curie
20:More data is not always the answer. ~ Alan Hirsch
21:STORIES ARE JUST DATA WITH A SOUL ~ Carmine Gallo
22:Certainty, not data, is knowledge. ~ L Ron Hubbard
23:Consider data without prejudice. ~ Thomas A Edison
24:Let the dataset change your mindset ~ Hans Rosling
25:stories are just data with a soul. ~ Carmine Gallo
26:The plural of anecdotes is not data ~ Ben Goldacre
27:The world is one big data problem. ~ Andrew McAfee
28:We kill people based on metadata. ~ Bruce Schneier
29:Data may disappoint, but it never lies. ~ Jay Samit
30:Data can actually make us more human. ~ Aaron Koblin
31:Ilmu itu didatangi bukan mendatangi ~ Malik Ibn Anas
32:Maybe stories are just data with a soul ~ Bren Brown
33:while theories are nice, data is better. ~ Anonymous
34:Instincts are experiments. Data is proof. ~ Anonymous
35:Maybe stories are just data with a soul. ~ Bren Brown
36:The past is relevant only as data. ~ Richard K Morgan
37:The plural of anecdote is not data. ~ Steven D Levitt
38:Maybe stories are just data with a soul. ~ Brene Brown
39:You cannot write well without data. ~ George V Higgins
40:You can’t samba in a data stream, ~ Alaya Dawn Johnson
41:Data data everywhere, and not a thought to think! ~ n 1
42:Data is great, but strategy is better ~ Steven Sinofsky
43:Data really powers everything that we do. ~ Jeff Weiner
44:The public trusts big data way too much. ~ Cathy O Neil
45:They made data a controlled substance. ~ Neal Stephenson
46:Universal law: data wants to be free. ~ Peter F Hamilton
47:An instrument is a tool used to collect data. ~ Anonymous
48:In God we trust, all others bring data ~ W Edwards Deming
49:Don't censor incoming data through denial. ~ Deepak Chopra
50:In God we trust; all others bring data. ~ W Edwards Deming
51:Instincts are experiments. Data is proof. ~ Alistair Croll
52:Context is to data what water is to a dolphin ~ Dan Simmons
53:With insufficient data it is easy to go wrong. ~ Carl Sagan
54:You’re the witch, dude.  I’m the data geek.  ~ Debora Geary
55:Data coming out our ears but we lack narrative. ~ Roy Sekoff
56:Data has no ego and makes an excellent co-pilot. ~ Jay Samit
57:Data is the exhaust of the information age. ~ Bruce Schneier
58:Demagoguery beats data in making public policy. ~ Dick Armey
59:ISP’s database.” Surprisingly, he thought ~ Michael Prescott
60:Data is not useful until it becomes information. ~ Seth Godin
61:Data without generalization is just gossip. ~ Robert M Pirsig
62:the Arcturus system six weeks ago. Data is raw, ~ Ian Douglas
63:If you want data to survive, carve it in rock. ~ Jack McDevitt
64:Metadata liberates us, liberates knowledge. ~ David Weinberger
65:Najbolja blagodat koja nam je data jeste šansa za pokajanje. ~
66:On data: We are the drivers, not the driven. ~ Andy Hargreaves
67:Big data isn’t about bits, it’s about talent. ~ Douglas Merrill
68:Exista lucruri care nu se scriu niciodata! ~ Napol on Bonaparte
69:Incomplete data leads to incomplete conclusions. ~ Henry H Neff
70:In God we trust; all others must bring data. ~ W Edwards Deming
71:NSA analyst touches something in the database, ~ Bruce Schneier
72:We are surrounded by data, but starved for insights. ~ Jay Baer
73:I hate when people ask me to: "Massage the data". ~ Ronald Coase
74:This isn’t Ospin! These aren’t the Dataversities! ~ Iain M Banks
75:Data is the new oil? No: Data is the new soil. ~ David Mccandless
76:Science will...produce the data..., but never the ~ Lewis Thomas
77:Data are becoming the new raw material of business. ~ Craig Mundie
78:Data that conflicts with beliefs is often ignored, ~ Jack Campbell
79:To a collector of curios, the dust is metadata. ~ David Weinberger
80:any global data is always guilty until proven innocent. ~ Anonymous
81:In God we trust. All others [must] have data ~ Siddhartha Mukherjee
82:Sesuatu yang hebat datang bersamaan dengan kesabaran. ~ Suzy Kassem
83:the best ways to solve data problems are often with UX. ~ Anonymous
84:We live, I regret to say, in an age of Big Data hype. ~ Oscar Wilde
85:Apparently the Germans had a database of 13,000 kicks. ~ Simon Kuper
86:Big data will replace the need for 80% of all doctors ~ Vinod Khosla
87:Data is what distinguishes the dilettante from the artist ~ George V
88:If you torture the data long enough, it will confess. ~ Ronald Coase
89:In the absence of data, we will always make up stories. ~ Bren Brown
90:A data structure is just a stupid programming language. ~ Bill Gosper
91:Digital data are more fragile than printed material. ~ Robert Darnton
92:Size doesn't matter, fast data is better than big data ~ Hilary Mason
93:Torture the data, and it will confess to anything,” as ~ Ben Goldacre
94:We dont have better algorithms, we just have more data ~ Peter Norvig
95:Data, data everywhere, but not a thought to think. ~ John Allen Paulos
96:Data quality is corporate America's dirty little secret. ~ Paul Gillin
97:Data scientist is just a sexed up word for statistician. ~ Nate Silver
98:If you torture the data long enough, it will confess. ~ Ronald H Coase
99:Kuulata saab vaid see, kes unustab vahel kella vaadata. ~ Stefan Klein
100:No observational problem will not be solved by more data. ~ Vera Rubin
101:If you torture the data enough, nature will always confess. ~ Anonymous
102:90% of the world's data was created in the last two years ~ Marc Benioff
103:Data about an innovative idea is rarely crystal clear. ~ Scott D Anthony
104:Data don't generate theory - only researchers do that. ~ Henry Mintzberg
105:Start-up founders should be data-informed – not data-driven. ~ Anonymous
106:Theories come and go, but fundamental data always remains. ~ Mary Leakey
107:Data are just as often molded to fit preferred conclusions. ~ Roger Lewin
108:Database: the information you lose when your memory crashes. ~ Dave Barry
109:THERE IS AS YET INSUFFICIENT DATA FOR A MEANINGFUL ANSWER. ~ Isaac Asimov
110:There is as yet insufficient data for a meaningful answer. ~ Isaac Asimov
111:A database is just a tool: how you use it is up to you. ~ Martin Kleppmann
112:data mining means “torturing the data until it confesses. ~ Pedro Domingos
113:The future of marketing isn't big data, it's big understanding. ~ Jay Baer
114:The analysis of data will not by itself produce new ideas. ~ Edward de Bono
115:Exaggeration undermines the credibility of well-founded data: ~ Hans Rosling
116:Videos from Big Data Everywhere 2014 are now available on InfoQ. ~ Anonymous
117:Without data, you're just another person with an opinion. ~ W Edwards Deming
118:Data gathered on the Shuttle and ISS help power Google Maps; ~ Chris Hadfield
119:It is a capital mistake to theorise before one has data. ~ Arthur Conan Doyle
120:It is a capital mistake to theorize before one has data. ~ Arthur Conan Doyle
121:Jodoh itu misterius. Dia datang begitu saja dan lewat begitu saja. ~ Clara Ng
122:Let them know precisely what you are going to do with their data ~ Steve Jobs
123:The irony is that more data can often present less clarity. ~ Charles Wheelan
124:Theory without data is myth: data without theory is madness. ~ Phil Zuckerman
125:Junk food, empty calories and carbs are the Big Data of the masses ~ Karl Marx
126:Nobody should try to use data unless he has collected data. ~ W Edwards Deming
127:The web is hyperlinked documents; the cloud is hyperlinked data. ~ Kevin Kelly
128:This is data as you have never known it: it is data as therapy. ~ Hans Rosling
129:We're so obsessed with [big] data, we forget how to interpret it. ~ danah boyd
130:You have to be willing to have the decision-making follow the data. ~ Ted Cruz
131:rely on accumulated data rather than on individual anecdotes, ~ Steven D Levitt
132:Cinta mendatangkan cinta,
dan benci mendatangkan benci. ~ Ella Wheeler Wilcox
133:People are running huge enterprises off of hacking and stealing data. ~ Tim Cook
134:Product Market Fit is a feeling backed with data and information. ~ Ryan Holiday
135:Sînt deja închis. Cum sînt toti. Închis si totodata prea liber. ~ Eug ne Ionesco
136:There are no facts, there is no truth, just data to be manipulated. ~ Don Henley
137:Too few of you, Big Data tells me, are still reading. ~ Seth Stephens Davidowitz
138:Analyse data just so far as to obtain simplicity and no further. ~ Henri Poincare
139:Big Data processes codify the past. They do not invent the future. ~ Cathy O Neil
140:The data stream has been corrupted, return to first principles. ~ Terence McKenna
141:The mystery of consciousness? Erroneous data—significant results. ~ Frank Herbert
142:This observation is sometimes summed up as data outlives code. ~ Martin Kleppmann
143:(As scientists like to say: The plural of anecdote is not data.) ~ Steven D Levitt
144:Every system using data separates humanity into winners and losers. ~ Cathy O Neil
145:More data beats clever algorithms, but better data beats more data. ~ Peter Norvig
146:Reports of anti-Semitic incidents are based on differing data and rely ~ Anonymous
147:Traiesc in trecut, ori intr-un viitor care nu va exista niciodata. ~ Irvin D Yalom
148:It's easy to pretend expertise when there's no data to contradict you. ~ Seth Godin
149:Nobody ever imagined a bunch of Orcs would steal a database table… ~ Charles Stross
150:No great marketing decisions have ever been made on qualitative data ~ John Sculley
151:Bila seseorang pergi, itu karena seseorang lain sudah waktunya datang ~ Paulo Coelho
152:Great wisdom not applied to action and behavior is meaningless data. ~ Peter Drucker
153:It just means you are the sum total of your data. No man escapes that. ~ Don DeLillo
154:Quantitative data abhors emotion; qualitative data marinates in it. ~ Alistair Croll
155:The data suggest that happy people are more likely to get married. ~ Steven D Levitt
156:Unfortunately, while people were drowning in data, knowledge was nowhere ~ Anonymous
157:Have we been compromised by our own data? The answer is: Of course. ~ Jeff VanderMeer
158:In God we trust. All others [must] have data. - Bernard Fisher ~ Siddhartha Mukherjee
159:,, Iubirea ne omoara dintr-odata, fara sa lase nici o dovada a crimei. ~ Paulo Coelho
160:The more data we have, the more likely we are to drown in it. ~ Nassim Nicholas Taleb
161:the problem isn’t finding data, it’s figuring out what to do with it. ~ Mike Loukides
162:We need to ground environmentalism on something other than data. ~ Charles Eisenstein
163:Ultimately, thinking is a very inefficient method of processing data. ~ Frederick Lenz
164:You remind me people are more than the sum of the metadata one can dig up ~ Emma Holly
165:Data isn't information; information isn't knowledge; knowledge isn't wisdom. ~ Ian Lowe
166:Dumnezeu e-n ochi. La fel si Diavolul, de fiecare data cand clipesti. ~ Theodore Roszak
167:I don't see the logic of rejecting data just because they seem incredible. ~ Fred Hoyle
168:In the twenty-first century, people threw off data like dead skin cells. ~ Barry Eisler
169:It is a capital mistake to theorize before one has data.” - Sherlock Holmes ~ Anonymous
170:The falsification of scientific data or analysis is always a serious matter ~ Ed Markey
171:you had to know what you were looking for or the data would drown you. ~ Steve Robinson
172:A hacker doesnt deliberately destroy data or profit from his activities. ~ Kevin Mitnick
173:Big data is indeed a buzzword but it is one that is frankly under-hyped. ~ Ginni Rometty
174:Data are to statistics what a good offensive is to a star quarterback. ~ Charles Wheelan
175:Ketidakbahagiaan datang lewat ketakutan atau keinginan yang tidak terkendali. ~ Epicurus
176:The goal is to turn data into information, and information into insight. ~ Carly Fiorina
177:There's no data to suggest that I can make you love me whatever I do. ~ Karen Joy Fowler
178:When you see data, doubt [them]! When you see measurements, doubt them! ~ Kaoru Ishikawa
179:while people were drowning in data, knowledge was nowhere to be found. ~ Benjamin Graham
180:With data collection, 'the sooner the better' is always the best answer. ~ Marissa Mayer
181:As a scientist, you're not supposed to make decisions without the data. ~ Francis Collins
182:Data from any single gene cannot really tell you anything so definitive. If ~ Bill Bryson
183:Jack's [Ma Yun ] theory is that whoever controls data controls the world. ~ Masayoshi Son
184:... no compelling data to support its anachronistic social Darwinism. ~ Stephen Jay Gould
185:Our five senses are faulty data-taking devices, and they need help. ~ Neil deGrasse Tyson
186:To her data analysis was the ugly love child of science and Kafka, ~ Kim Stanley Robinson
187:Twenty percent of all input forms filled out by people contain bad data. ~ Dennis Ritchie
188:Without big data, you are blind and deaf and in the middle of a freeway. ~ Geoffrey Moore
189:All data are filtered, observation is necessarily 'theory-laden'. ~ Norwood Russell Hanson
190:I filed him in my mental database under Useless Prick, for future reference. ~ Tana French
191:Small, noncomparative, highly labeled data sets usually belong in tables. ~ Edward R Tufte
192:stay open to new data and be prepared to keep freshening up your knowledge. ~ Hans Rosling
193:The computer, being a mechanical moron, can handle only quantifiable data. ~ Peter Drucker
194:The more the data banks record about each one of us, the less we exist. ~ Marshall McLuhan
195:Gratitude, therefore, emerged from the data as the antidote to foreboding joy. ~ Bren Brown
196:Sometimes the job of a data scientist is to know when you don't know enough. ~ Cathy O Neil
197:The future belongs to the companies and people that turn data into products ~ Mike Loukides
198:We apply fight-or-flight reflexes not only to predators, but to data itself. ~ Chris Mooney
199:but slots — and other “virtual” attributes — won’t be reported as instance data. ~ Mark Lutz
200:Data is a lot like humans: It is born. Matures. Gets married to other data, ~ Arthur Miller
201:Data is a precious thing and will last longer than the systems themselves. ~ Tim Berners Lee
202:In baseball you have terrific data and you can be a lot more creative with it. ~ Nate Silver
203:There is so much data available to us, but most data won't help us succeed. ~ Thomas Carlyle
204:The world is now awash in data and we can see consumers in a lot clearer ways. ~ Max Levchin
205:Unlike oil, Big Data’s reserves are growing exponentially every year. ~ Khang Kijarro Nguyen
206:We're entering a new world in which data may be more important than software. ~ Tim O Reilly
207:Be critical of classes that contain more than about seven data members. The ~ Steve McConnell
208:Errors using inadequate data are much less than those using no data at all. ~ Charles Babbage
209:Te-ai intrebat vreodata , monstrii dac razboi sau razboiul ii face pe monstri? ~ Laini Taylor
210:The greatest wisdom not applied to action and behaviour is meaningless data ~ Peter F Drucker
211:There's a lot of power in executing data - generating data and executing data. ~ Ken Thompson
212:To a database person, every nail looks like a thumb. Or something like that. ~ Jamie Zawinski
213:Youth is cause, effect is age; so with the thickening of the neck we get data. ~ Djuna Barnes
214:Data alone is not enough. Starting from scratch will only get you to scratch. ~ Pedro Domingos
215:Data!data!data!" he cried impatiently. "I can't make bricks without clay. ~ Arthur Conan Doyle
216:Every failure contains valuable data that will point you in the right direction. ~ Ramit Sethi
217:Hey I just met you The network’s laggy But here’s my data So store it maybe ~ Martin Kleppmann
218:Our early libertarian idealism resulted in gargantuan, global data monopsonies. ~ Jaron Lanier
219:Over the next ten years, everything that has a cord is going to have data in it. ~ Tony Fadell
220:Simple models and a lot of data trump more elaborate models based on less data. ~ Peter Norvig
221:When a manager asks for hard data, that's usually just his way of saying no. ~ Ward Cunningham
222:And love?” she asked him. “What is love?” He smiled faintly. “Data of the heart. ~ C S Friedman
223:I’d run straight into a bulkhead trying to walk and receive data at the same time… ~ Ann Leckie
224:It is a capital mistake to theorize before one has data.—Sir Arthur Conan Doyle ~ Philip Kotler
225:The Crystal Wind is the Storm, and the Storm is Data, and the Data is Life. ~ Daniel Keys Moran
226:Thought, without the data on which to structure that thought, leads nowhere. ~ Victor J Stenger
227:When anecdotal user feedback and data contradict each other, listen to the data. ~ Reid Hoffman
228:Governance allows organizations...t o use critical data to drive the organization. ~ Dick Taylor
229:The world, quite simply, is too complex and too rich for little data. ~ Seth Stephens Davidowitz
230:When human judgment and big data intersect there are some funny things that happen ~ Nate Silver
231:where data are sparse, competing ideas abound that are clever and wishful. ~ Neil deGrasse Tyson
232:A very rarely discussed property of data: it is toxic in large quantities ~ Nassim Nicholas Taleb
233:If you are using search data to decide what's fashionable, you are not fashionable. ~ Peter Sagal
234:One of the core principles of Google has always been “Don’t politick. Use data.” As ~ Laszlo Bock
235:Semua harus datang karena panggilanku. Semua harus pergi karena usiranku. ~ Pramoedya Ananta Toer
236:The best technique for improving performance in your database is to use indexes well. ~ Anonymous
237:The problem is that we won’t ever know that, and a lack of data never wins debates. ~ David Weber
238:Too many product managers rely on instinct and gut instead of actual behavioral data. ~ Anonymous
239:To Schema on Read or to Schema on Write, That Is the Hadoop Data Lake Question ~ Martin Kleppmann
240:Welcome to the information age. Data, data, everywhere, but no one knows a thing. ~ Roger Kimball
241:Engineering, I think you can pick up. [A data scientist's] curiosity is built-in ~ Scott Nicholson
242:Everything you said or did was a data point you put out there in the world. ~ Jennifer Lynn Barnes
243:Frightened people want action more than they want correct action. It’s in the data. ~ Marcus Sakey
244:How can you make sense of the future when you only have data about the past? ~ Clayton Christensen
245:If you just talk to who's easy to talk to, you're not really getting the best data. ~ Emmett Shear
246:People are stunned to hear that one company has data files on 185 million Americans. ~ Ralph Nader
247:Reality exists in the mind of each.
The senses are input devices for incoming data. ~ Toba Beta
248:Teach where data can be found or how it can be derived, not the recording of data. ~ L Ron Hubbard
249:When science and the Bible differ, science has obviously misinterpreted its data. ~ Henry M Morris
250:Women buy underwear for the men they love. It’s economics. Data supports this claim. ~ Helen Hoang
251:In Operations, many of our data sets have what we call ‘chi squared’ distribution. Using ~ Gene Kim
252:I then realized my analytics data was a bit odd. My keywords were no longer with me ~ Douglas Bader
253:It’s even been said that data mining means “torturing the data until it confesses. ~ Pedro Domingos
254:More data means more information, but it also means more false information. ~ Nassim Nicholas Taleb
255:There might never be that moment when everyone says, "Oh my God, big data is awful." ~ Cathy O Neil
256:We chose it because we deal with huge amounts of data. Besides, it sounds really cool. ~ Larry Page
257:A brainscan cannot interpret itself and neither can a data dashboard in education. ~ Andy Hargreaves
258:As of yet, there is no peer-reviewed data on the efficacy of journaling by candlelight. ~ Sara Eckel
259:데이터 구조와 데이터를 관리하는 전문인력이 필요하게 됩니다. 이런 사람을 데이터 관리자, Database Administrator, 줄여서 DBA라고 합니다. ~ Anonymous
260:Data is not the phenomenon. It represents the phenomenon, but not very well. ~ Clayton M Christensen
261:dictionaries are not set up to adapt to a user’s mental pictorial database of things. ~ Kory Stamper
262:Every thought that arises in the mind has its roots in data you have already accumulated. ~ Sadhguru
263:IBM estimates that 90 percent of the world’s data was created in the last two years. ~ Robert Scoble
264:I don't think there is any global warming. I don't see the statistical data for that. ~ Vaclav Klaus
265:Nu mai ai nevoie de alti oameni in viata ta, odata ce ai gasit adevarata dragoste. ~ Cassandra Clare
266:We have to learn to interrogate our data collection process, not just our algorithms. ~ Cathy O Neil
267:We must be careful not to confuse data with the abstractions we use to analyse them. ~ William James
268:Allowing us to do many causal experiments is the fourth power of Big Data. ~ Seth Stephens Davidowitz
269:If you bomb a city, then rebuild it, the data shows a huge spike in economic activity. ~ John Perkins
270:If you entrust your data to others, they can let you down or outright betray you. ~ Jonathan Zittrain
271:If you're going to decide to run a data-driven campaign, decision-making has to follow it. ~ Ted Cruz
272:Most people think that aging is fatal and scientific data shows that that's not true. ~ Deepak Chopra
273:Once dismissed as “body shops”, India’s IT-outsourcing firms are now leaders in big data. ~ Anonymous
274:That's all data is. A gift from yesterday that you receive today to make tomorrow better. ~ Jon Acuff
275:The real justification for psychedelics is that they feed new data into your model. ~ Terence McKenna
276:When we share our personal data with business, its use should be transparent and secure. ~ Anna Eshoo
277:You can't understand depth of science, unless you challenge the published scientific data. ~ Amit Ray
278:broadband firms want to manage more actively the data pulsing through their conduits—their ~ Anonymous
279:Data by itself is not useful. Data is only useful if it can be applied for public benefit. ~ Todd Park
280:In God we trust,” he brusquely told a journalist. “All others [must] have data. ~ Siddhartha Mukherjee
281:In practice, however, the boundary between data and processing can be hard to establish. ~ Jean Tirole
282:Learning happens in the minds and souls, not in the databases of multiple-choice tests. ~ Ken Robinson
283:One of the issues of social networking silos is that they have the data and I don't. ~ Tim Berners Lee
284:What am I? The data? The process that generates it? The relationships between the numbers? ~ Greg Egan
285:Cartoons are data. If people find them funny, that tells us something about the world. ~ Robert H Frank
286:Data can't speak for itself; it's up to you to give it a voice. Try to speak truthfully. ~ Ronald Coase
287:People are very interested in having access to wireless data while they are on a plane. ~ Steve Largent
288:Sinuciderea e, poate, singurul act uman care e totdeauna sincer, nu e niciodata mimat. ~ Octavian Paler
289:The data is clear: If you give a woman an opportunity, she will make a huge difference. ~ Carly Fiorina
290:The librarian is the interface between reams of data and the untrained but motivated user. ~ Seth Godin
291:This is the book that I wish existed when I started using Python for data analysis in 2007. ~ Anonymous
292:Voi ajunge vreodata atat de pur, ca nu ma voi putea oglindi decat in lacrimi de sfinti? ~ Emil M Cioran
293:A better world won’t come about simply because we use data; data has its dark underside. ~ Mike Loukides
294:APIs extend the reach of your software and data; SOA accelerates it through proven patterns. ~ Anonymous
295:Data is of course important in manufacturing, but I place the greatest emphasis on facts. ~ Taiichi Ohno
296:I think that the default for collecting any kind of personal data should be opt-in consent. ~ Al Franken
297:knowledge, data processing, and creativity are going to be at the heart of creating value. ~ Jean Tirole
298:You can have data without information, but you cannot have information without data. ~ Daniel Keys Moran
299:If we have data, let's look at data. If all we have are opinions, let's go with mine. ~ James L Barksdale
300:In God we trust,”509 he brusquely told a journalist. “All others [must] have data. ~ Siddhartha Mukherjee
301:it’s pretty easy to frame an argument convincingly by being selective in the data presented. ~ Roxane Gay
302:I wanted to separate data from programs, because data and instructions are very different. ~ Ken Thompson
303:Nothing beats standing in the middle of the action, with all the data I need at my fingertips ~ Betty Liu
304:Nu poti sa urasti pe cineva deja infrant.Care, fara tine, nu va mai fi niciodata om intreg. ~ John Fowles
305:One of the best things data can enable us to do is to ask questions we didn't know to ask. ~ Vinod Khosla
306:On mobile, what are the core apps? It's basically messaging, mapping and review data. ~ Jeremy Stoppelman
307:You can also enter RxList.com into Alexa.com, a free data mining and analysis service, ~ Daniel J Levitin
308:Platforms beat pipelines by using data-based tools to create community feedback loops. ~ Geoffrey G Parker
309:There is little scientific data on the point, but evidently people do speak to themselves. ~ David Crystal
310:While hard data may inform the intellect, it is largely soft data that generates wisdom. ~ Henry Mintzberg
311:How can I annotate his metadata on my mental card catalog if I don’t know what to annotate? ~ Sierra Simone
312:I have a database of all my works that I maintain to keep track of works and editions. ~ Patricia Piccinini
313:My radio show, I'd show up, I'd read the data, and I would have sound bites and stuff like that. ~ Jay Mohr
314:Nu ma realizez deplin niciodata, pentru ca am o idee din ce in ce mai buna despre viata. ~ Nichita St nescu
315:Our problems are not with the data, itself, but arise from our interpretation of the data. ~ Bruce H Lipton
316:There are two types of people in the world: those who can extrapolate from incomplete data..... ~ Anonymous
317:what data gives you is a unique excuse to interact with many different functions of a business. ~ Anonymous
318:who knows how the data behind these metaphors has traveled, from where and for how long. ~ Richard K Morgan
319:Alex Scotti: “Adventures in Building Your Own Database,” at All Your Base, November 2015. ~ Martin Kleppmann
320:Allowing us to zoom in on small subsets of people is the third power of Big Data. ~ Seth Stephens Davidowitz
321:Astepta sa se potoleasca durerea , de care ea nu avea probabil sa scape definitiv niciodata . ~ Kerstin Gier
322:Pecinta sejati tidak akan pernah menyerah sebelum kematian itu sendiri datang menjemput dirinya. ~ Tere Liye
323:Although the prime numbers are rigidly determined, they somehow feel like experimental data. ~ Timothy Gowers
324:Although we often hear that data speak for themselves, their voices can be soft and sly ~ Frederick Mosteller
325:Anecdotal data is not incidental to theory development at all, but an essential part of it. ~ Henry Mintzberg
326:Daca incerci sa-l smulgi din familia ta, o sa lasi o rana care nu se va vindeca niciodata . ~ Cassandra Clare
327:Data is like garbage. You'd better know what you are going to do with it before you collect it. ~ Mark Twain
328:Don't measure anything unless the data helps you make a better decision or change your actions. ~ Seth Godin
329:Girls are interesting, Mike; they can reach conclusions with even less data than you can. ~ Robert A Heinlein
330:I love data. I think it's very important to get it right, and I think it's good to question it. ~ Mary Meeker
331:I'm a bit of a freak for evidence-based analysis. I strongly believe in data. ~ Gus O Donnell Baron O Donnell
332:Information is just bits of data. Knowledge is putting them together. Wisdom is transcending them. ~ Ram Dass
333:Scientists peered into data and concluded that we should all be worried.
-Lunar planet ~ Bret Easton Ellis
334:there was no backup of Twitter. “If the database goes down right now, we would lose everything, ~ Nick Bilton
335:The value of having a computer, to me, is that it'll remember everything you do. It's a databank. ~ John Cale
336:We have the data to prove to men that gender equality is not a zero-sum game, but a win-win. ~ Michael Kimmel
337:What is clear is that users own their data and should have control of how their data is used. ~ Marissa Mayer
338:When you live in a networked environment, it's possible to separate data from applications. ~ Stephen Cambone
339:If you step back and look at the data, the optimum amount of red meat you eat should be zero. ~ Walter Willett
340:It's amazing how much data is out there. The question is how do we put it in a form that's usable? ~ Bill Ford
341:Overfitting happens when you have too many hypotheses and not enough data to tell them apart. ~ Pedro Domingos
342:the ability to blur the traditional distinction between ``passive'' data and ``active'' processes. ~ Anonymous
343:When a problem seems urgent the first thing to do is not to cry wolf, but to organize the data. ~ Hans Rosling
344:Data and intuition are like horse and rider, and you don’t try to outrun a horse; you ride it. ~ Pedro Domingos
345:Light fades as it travels; the fainter it becomes, the less capable it is of transmitting data. ~ Michael Lewis
346:the strategic goal was the same: to reach people in an effective, scalable, and data-driven way. ~ Ryan Holiday
347:Akan datang waktu dalam kehidupan setiap gadis saat dia menyadari bahwa ayahnya tidak sempurna. ~ Heather Webber
348:Akan datang waktu dalam kehidupan setisp gadis saat dia menyadari bahwa ayahnya tidak sempurna. ~ Heather Webber
349:He knew time and day of week and wondered when such scraps of data would begin to feel disposable. ~ Don DeLillo
350:It is not what a government does with data that defines it; it is what it does to human beings. ~ Garry Kasparov
351:Segala makna memang datang dari manusia, yang menatap dan mendengar, lantas memberi arti. ~ Seno Gumira Ajidarma
352:The crucial challenge is to learn how to read critically, analyze data, and formulate ideas—and ~ Fareed Zakaria
353:In 2014, former NSA and CIA director Michael Hayden remarked, “We kill people based on metadata. ~ Bruce Schneier
354:Om is that eternal music which can smooth away all the creases of negativity in our Karmic database. ~ Banani Ray
355:We can say, "if you want government money, you have to make this data public - you have to share it." ~ Joe Biden
356:In seven to ten years video traffic on the Internet will exceed data and voice traffic combined. ~ Robert Metcalfe
357:It is often true that groundbreaking discoveries are made from poor data at the leading edge ~ Neil deGrasse Tyson
358:Noise in machine learning just means errors in the data, or random events that you can’t predict. ~ Pedro Domingos
359:sometimes the only solution when the data is very noisy—is to focus more on process than on results. ~ Nate Silver
360:Backups are for wimps. Real men upload their data to an FTP site and have everyone else mirror it. ~ Linus Torvalds
361:Dragostea ce nu ajunge sa se materializeze niciodata ramane adesea idealul care-l ghideaza pe om. ~ Rafael Sabatini
362:Everybody is connected to everybody else, all data that can be shared will be shared: get used to it. ~ Eben Moglen
363:None of that data, however, actually tells you why customers make the choices that they do. ~ Clayton M Christensen
364:The ideal organizational environment encourages everyone to observe, collect data, and speak up. ~ Richard H Thaler
365:The NSA buys data from private companies, so the private companies are the source of all this stuff. ~ Cathy O Neil
366:three-dimensional model of wisdom did not fit the Chinese data, χ2(699)=1228.24 (p <.001); CFI=. 47; ~ Anonymous
367:appetite of the blank page for ever more information, ever more data. An empty book is a greedy thing. ~ Terry Gross
368:Do countries with strong gun control laws have lower murder rates? Only if you cherry-pick the data. ~ Thomas Sowell
369:Everything is data! And with all this new data, we can finally see through people’s lies. ~ Seth Stephens Davidowitz
370:It is not what a government does with data that defines it; it is what it does to human beings. Any ~ Garry Kasparov
371:mystery,” I remarked. “What do you imagine that it means?” “I have no data yet. It is a capital ~ Arthur Conan Doyle
372:Our ability to do great things with data will make a real difference in every aspect of our lives. ~ Jennifer Pahlka
373:Our most valued commodities have gone from salt and sugar to chemicals and fuels to data and services. ~ Alec J Ross
374:Reliable data on the outsourcing of American jobs is sorely missing from the debate on globalization. ~ Dan Lipinski
375:The temptation to form premature theories upon insufficient data is the bane of our profession. ~ Arthur Conan Doyle
376:The ultimate purpose of collecting the data is to provide a basis for action or a recommendation. ~ W Edwards Deming
377:We are the sum total of our data, I told her, just as we are the sum total of our chemical impulses. I ~ Don DeLillo
378:It is better to have 100 functions operate on one data structure than 10 functions on 10 data structures. ~ Anonymous
379:Oh, scientific mind. You get all your data from us, the senses, but without us you would be nothing. ~ Fred Alan Wolf
380:People are starting to be very skeptical of the Facebook algorithm and all kinds of data surveillance. ~ Cathy O Neil
381:social acceptability of digitization depends on us believing that our data will not be used against us, ~ Jean Tirole
382:To experience the world through the senses was different from simply having data about the world. ~ John Joseph Adams
383:China has already vaulted far ahead of the United States as the world’s largest producer of digital data, ~ Kai Fu Lee
384:Making good judgments when one has complete data, facts, and knowledge is not leadership - it's bookkeeping ~ Dee Hock
385:To be honest, I don't have data in my brain of how a relationship with a man is supposed to function. ~ Drew Barrymore
386:Compassion is what you're good at. I'm better at complex searches through organized data structures. ~ Orson Scott Card
387:I think data is incredibly powerful for understanding what people are thinking and for allocating resources. ~ Ted Cruz
388:Kematangan tak datang dengan bertambahnya usia. Kematangan bermula dengan sikap menerima tanggungjawab ~ Salina Ibrahim
389:Most companies don't want their data co-mingled with other customers. Small companies will tolerate it. ~ Larry Ellison
390:Not waiting for something to complete (e.g., sending data over the network to another node), and not ~ Martin Kleppmann
391:Because, like Sherlock says to Dr. Watson, ‘it is a capital mistake to theorize before one has data. ~ Chris Grabenstein
392:Every company has big data in its future and every company will eventually be in the data business. ~ Thomas H Davenport
393:No generalizing beyond the data, no theory. No theory, no insight. And if no insight, why do research. ~ Henry Mintzberg
394:of Congress Cataloging-in-Publication Data Sproul, R. C. (Robert Charles), 1939-   What is the relationship ~ R C Sproul
395:The mind, in short, works on the data it receives very much as the sculptor works on his block of stone. ~ William James
396:A single sperm contains 37.5 MB of DNA information. One ejaculation represents a data transfer of 15,875 GB, ~ John Lloyd
397:Consumers deserve to know exactly what they're getting for their money when they sign-up for a 4G data plan. ~ Anna Eshoo
398:Evolution is the ultimate example of how much a simple learning algorithm can achieve given enough data. ~ Pedro Domingos
399:I would defer to your expertise in shooting and killing things. You should defer to mine in data analysis. ~ Martha Wells
400:JOH! Thank God I found you.”

“I have 9022 gods listed in my database. Must I thank all of them? ~ Maureen A Miller
401:They were learning fast, or at least collecting data, which they considered to be the same as learning. ~ Terry Pratchett
402:Those fields which most depend upon authoritative opinion for their data least contain known natural law. ~ L Ron Hubbard
403:To condescend effectively it is clearly necessary to adhere to a narrow definition of relevant data. ~ Marilynne Robinson
404:All problems are simply interruptions in the transmission and preservation of data, he reminded himself. ~ G Willow Wilson
405:If you can follow only one bit of data, follow the earnings - assuming the company in question has earnings. ~ Peter Lynch
406:I kind of have to be a master of cleaning, extracting and trusting my data before I do anything with it. ~ Scott Nicholson
407:No matter how powerful a computer you have, if you put lousy data in you will get lousy predictions out. ~ Stephen Hawking
408:Some people are Accommodators; others—like me—are basically Assertive; and the rest are data-loving Analysts. ~ Chris Voss
409:These questions do not call for the discovery of data; they call for the contemplation of possibility. ~ Joan D Chittister
410:A basic principle of data processing teaches the folly of trying to maintain independent files in synchonism. ~ Fred Brooks
411:Cosmetic decoration, which frequently distorts the data, will never salvage an underlying lack of content. ~ Edward R Tufte
412:Data are just summaries of thousands of stories - tell a few of those stories to help make the data meaningful. ~ Dan Heath
413:...Data itself... was tolerable. It was the constant nerve-web-expanding pain of context that would kill him. ~ Dan Simmons
414:Intuited novels are far more ‘true’ than all your scribbled data-fact reportage in the history of the world! ~ Ray Bradbury
415:Maybe the schedules hadn’t been updated; humans are so fucking unreliable when it comes to maintaining data. ~ Martha Wells
416:Quando ti viene data la possibilità di scegliere se avere ragione o essere gentile, scegli di essere gentile. ~ R J Palacio
417:Self-driving cars offer you the freedom to sit back, relax, and consume vast quantities of information and data. ~ Amy Webb
418:Some 43 percent of voters in union households voted for President Bush in 2004, according to exit poll data. ~ Linda Chavez
419:the next darwin is more likely to be a data wonk than a naturalist wandering through an exotic landscape ~ David Weinberger
420:All knowledge—past, present, and future—can be derived from data by a single, universal learning algorithm. ~ Pedro Domingos
421:Bad programmers worry about the code. Good programmers worry about data structures and their relationships. ~ Linus Torvalds
422:Brash souls made jokes about what must be mountains of unread spy-eye data stored who knew where and how. ~ James Tiptree Jr
423:By 2010, we as a species were creating more data per day than we did from the beginning of time until 2003. ~ Bruce Schneier
424:Companies that build and maintain databases in the cloud are snagging a growing slice of the $36 billion market. ~ Anonymous
425:Data only exists within the framework of a vision you're building to, a hypothesis of where you're moving to. ~ Reid Hoffman
426:Doctors and patients need as much data as possible to make an informed decision about what treatment is best. ~ Ben Goldacre
427:Our conscious mind is simply unable to handle the complex, dynamic layers of data flooding us in each moment. ~ Todd Kashdan
428:The next darwin is more likely to be a data wonk than a naturalist wandering through an exotic landscape. ~ David Weinberger
429:There has been a substitution of ideology for fact and scientific and engineering data in this administration. ~ Vinton Cerf
430:TIA was being used by real users, working on real data - foreign data. Data where privacy is not an issue. ~ John Poindexter
431:To write it, it took three months; to conceive it three minutes; to collect the data in it all my life. ~ F Scott Fitzgerald
432:Daca-mi dau voie sa te sarut o data, ar urma inca o data, apoi inca una, si curand n-am mai putea sa ne oprim. ~ Lisa Kleypas
433:Data is the pollution problem of the information age, and protecting privacy is the environmental challenge. ~ Bruce Schneier
434:This is my favorite part about analytics: Taking boring flat data and bringing it to life through visualization. ~ John Tukey
435:This pattern-finding process is easier when the data is labeled with that desired outcome—“cat” versus “no cat”; ~ Kai Fu Lee
436:Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway. ~ Geoffrey Moore
437:A theory with mathematical beauty is more likely to be correct than an ugly one that fits some experimental data. ~ Paul Dirac
438:Every second of every day, our senses bring in way too much data than we can possibly process in our brains. ~ Peter Diamandis
439:Here's why most campaigns get data wrong. They treat it as an afterthought and they treat it as sort of a logistic. ~ Ted Cruz
440:If it exists, the Master Algorithm can derive all knowledge in the world—past, present, and future—from data. ~ Pedro Domingos
441:Knowledge about limitations of your data collection process affects what inferences you can draw from the data. ~ Nick Bostrom
442:the “logic” of the facts—that is, as it sought to deduce laws or universals from the raw data of the particulars. ~ R C Sproul
443:The paradigm of physics - with its interplay of data, theory and prediction - is the most powerful in science. ~ Geoffrey West
444:There is good news in the data the strongest support for priests is to be found among the younger generation. ~ Andrew Greeley
445:A fost odata ca niciodata un incer care zacea pe moarte in ceata. Si un diavol s-a aplecat spe el si i-a zambit. ~ Laini Taylor
446:By mindfully considering data not as stable commodities but as sources of ambiguity, we become more observant. ~ Ellen J Langer
447:Ilham itu harus dicari. Jangan ditunggu dia datang sendiri. Ilham itu harus dikejar, diperas, diburu dan dipeluk. ~ Ahmad Wahib
448:No good model ever accounted for all the facts, since some data was bound to be misleading if not plain wrong. ~ James D Watson
449:Pinterest may have more travel intent data than any other site, so many people are pinning where they want to be. ~ Terry Jones
450:The neural networks responsible for sensory gating begin to process data as soon as the child is born . ~ Stephen Harrod Buhner
451:Christ, when she used words such as "validity" and "data", Quint wanted to do unspeakably improper things to her. ~ Joanna Shupe
452:I'm sorry,' said Silyen, barely glancing up from his book. 'I'm a prodigy of Skill, not a missing persons' database. ~ Vic James
453:Selama penderitaan datang dari manusia, dia bukan bencana alam, dia pun pasti bisa dilawan oleh manusia. ~ Pramoedya Ananta Toer
454:Small Data is not about testing concepts - it is more to create the foundation for innovative brand thinking. ~ Martin Lindstrom
455:...the Climate Research Unit of the University of East Anglia apparently cherry-picked Russian climate data. ~ Andrey Illarionov
456:There is no data that can be displayed in a pie chart, that cannot be displayed BETTER in some other type of chart. ~ John Tukey
457:We just see a sort of cascading amount of data of the damage that is being done by those increased temperatures. ~ Bill McKibben
458:Big Data is not just about doing the same thing you would have done with surveys except with more data ~ Seth Stephens Davidowitz
459:Intelligence takes chances with limited data in an arena where mistakes are not only possible but also necessary. ~ Frank Herbert
460:Learning from data is virtually universally useful. Master it and you’ll be welcomed nearly everywhere! —John Elder ~ Eric Siegel
461:We used to be calorie poor and now the problem is obesity. We used to be data poor, now the problem is data obesity. ~ Hal Varian
462:If an SSD is disconnected from power, it can start losing data within a few weeks, depending on the temperature ~ Martin Kleppmann
463:Orang menyebutnya ILHAM. Tapi bisa saja itu datang dari suatu proses, setelah kita membiarkan diri mengalami yang lain ~ Ayu Utami
464:Private companies now collect and sell as many as 75,000 individual data points about the average American consumer. ~ Alec J Ross
465:The story the data tells us is often the one we’d like to hear, and we usually make sure that it has a happy ending. ~ Nate Silver
466:Dalam banyak hal kita tidak bisa memilih waktu terbaik. Saat sesuatu itu datang, kita hanya bisa bersiap menghadapinya. ~ Tere Liye
467:Dar oglinda mi-a spus asta:nu poti sti totul,doar privindu-ma.Nu poti sti niciodata totul doar uitandu-te la cineva ~ Cecelia Ahern
468:Extreme views are never just; something always turns up which disturbs the calculations formed upon their data. ~ Benjamin Disraeli
469:Gender data is important. If girls don’t have a birth certificate, how do we know how many are marrying as children? ~ Kathy Calvin
470:I don't have scientific data, but I think plenty of perfectly nice weekends are being given over to the binge craze. ~ Hank Stuever
471:I don't use scientific data as a foundation for believing in God - I use it as an enrichment of my knowledge of God. ~ George Coyne
472:If someone's criticism is completely unfounded on data, then I don't want to hear it. It doesn't hold up to scrutiny. ~ Tim Ferriss
473:If you consider any set of data without a preconceived viewpoint, then a viewpoint will emerge from the data. ~ William S Burroughs
474:The challenge is for the graphic designer to turn data into information and information into messages of meaning. ~ Katherine McCoy
475:The data don’t lie: a Chicago street prostitute is more likely to have sex with a cop than to be arrested by one. ~ Steven D Levitt
476:the data shows that half the increase in child survival in the world happens because the mothers can read and write. ~ Hans Rosling
477:You collect as much data as you can, you immerse yourself in that data but then you make the decision with your heart. ~ Jeff Bezos
478:As you get more information, start to draw conclusions. Perhaps you can identify more data points to keep in the record. ~ Anonymous
479:Creating a story that’s compelling and exciting for people, while still respecting the truth of the data, is hard to do. ~ Anonymous
480:data science is a team sport, somebody has to bring the data together, somebody has to move it, someone needs to analyse ~ Anonymous
481:For me, all of the data that is contained in your cell memory, and in your energetic field, is able to be picked up. ~ Caroline Myss
482:I think big data companies only like good news. So I think they're just hoping that they don't get sued, essentially. ~ Cathy O Neil
483:let the networks themselves identify patterns within the data. In other words, the less human interference, the better. ~ Kai Fu Lee
484:the best data scientists tend to be “hard scientists,” particularly physicists, rather than computer science majors. ~ Mike Loukides
485:There is very strong historical data that suggest the way societies grow is by making large, long-term investments. ~ Fareed Zakaria
486:Yelp is in a very nice spot: local data, and especially review data, is one of the killer apps on mobile phones. ~ Jeremy Stoppelman
487:You have to be careful, Terauchi always warned us, or you'll wind up in some database. Then adults will control you. ~ Natsuo Kirino
488:A basic principle of data processing teaches the folly of trying to maintain independent files in synchonism. ~ Frederick P Brooks Jr
489:And the data on everything from air quality to commodity prices to levels of violence show improvement over time. ~ Erik Brynjolfsson
490:Apple and Google will compete like crazy for our data because once they have it we'll be their customers forever. ~ Robert X Cringely
491:Convey your passion and link your strengths to measurable results. Employers and interviewers love concrete data. ~ Marcus Buckingham
492:Patients are empowered by having better access to their own health information, and then by owning their own data. ~ Elizabeth Holmes
493:Recommended additon to the Consumer Privacy Bill of Rights: "A right to not have your data rise up and attack you." ~ Benjamin Wittes
494:Second-order mindfulness recognizes that there is no right answer. Decision making is independent of data gathering. ~ Ellen J Langer
495:Your personal life is now known as Facebook’s data. Its CEO’s personal life is now known as mind your own business. ~ Glenn Greenwald
496:Apple has a worldwide database of Wi-Fi passwords, including my home network’s, from people backing up their iPhones. ~ Bruce Schneier
497:Bu kentin ne çatılarını ışıldatan ayları sayabilirsin,
Ne de duvarlarının gerisine gizlenen bin muhteşem güneşi. ~ Khaled Hosseini
498:Darwin’s ideas are devices for generating data. Darwin’s theory opens possibilities for inquiry; Agassiz’s closes them. ~ Louis Menand
499:for all the valuable insights big data provides, the Web remains a curated, idealized version of who we really are. ~ Martin Lindstrom
500:for Google, the real value of a book is not as a self-contained literary work but as another pile of data to be mined. ~ Nicholas Carr

IN CHAPTERS



   60 Integral Yoga
   22 Fiction
   14 Occultism
   9 Psychology
   8 Philosophy
   7 Christianity
   4 Poetry
   2 Science
   2 Education
   1 Theosophy
   1 Mysticism


  100 Sri Aurobindo
   22 H P Lovecraft
   13 Nolini Kanta Gupta
   9 Carl Jung
   8 Paul Richard
   8 Aleister Crowley
   5 The Mother
   4 Plotinus
   3 Jordan Peterson
   2 Satprem
   2 Rudolf Steiner
   2 Plato
   2 Pierre Teilhard de Chardin
   2 John Keats
   2 James George Frazer
   2 George Van Vrekhem
   2 A B Purani


   23 The Life Divine
   22 Lovecraft - Poems
   17 Record of Yoga
   14 The Synthesis Of Yoga
   9 Essays In Philosophy And Yoga
   6 Essays Divine And Human
   6 Collected Works of Nolini Kanta Gupta - Vol 01
   5 The Secret Doctrine
   5 The Human Cycle
   5 Magick Without Tears
   5 Letters On Yoga IV
   4 Letters On Yoga I
   3 The Problems of Philosophy
   3 The Archetypes and the Collective Unconscious
   3 The 7 Habits of Highly Effective People
   3 Maps of Meaning
   3 Liber ABA
   3 Letters On Yoga II
   3 Aion
   2 Vedic and Philological Studies
   2 The Practice of Psycho therapy
   2 The Golden Bough
   2 Sex Ecology Spirituality
   2 Preparing for the Miraculous
   2 On Thoughts And Aphorisms
   2 On the Way to Supermanhood
   2 Keats - Poems
   2 Hymns to the Mystic Fire
   2 Evening Talks With Sri Aurobindo
   2 Collected Works of Nolini Kanta Gupta - Vol 02


0.02 - The Three Steps of Nature, #The Synthesis Of Yoga, #Sri Aurobindo, #Integral Yoga
  
  Indeed, the increasing effort towards a more intense mental life seems to create, frequently, an increasing disequilibrium of the human elements, so that it is possible for eminent scientists to describe genius as a form of insanity, a result of degeneration, a pathological morbidity of Nature. The phenomena which are used to justify this exaggeration, when taken not separately, but in connection with all other relevant data, point to a different truth. Genius is one attempt of the universal Energy to so quicken and intensify our intellectual powers that they shall be prepared for those more puissant, direct and rapid faculties which constitute the play of the supra-intellectual or divine mind. It is not, then, a freak, an inexplicable phenomenon, but a perfectly natural next step in the right line of her evolution.
  

01.03 - Mystic Poetry, #Collected Works of Nolini Kanta Gupta - Vol 02, #Nolini Kanta Gupta, #Integral Yoga
  
   Here we have a pattern of thought-movement that does not seem to follow the lineaments of the normal brain-mind consciousness, although it too has a basis there: our customary line of reasoning receives a sudden shock, as it were, and then is shaken, moved, lifted up, transportedgradually or suddenly, according to the temperament of the listener. Besides, we have here the peculiar modern tone, which, for want of a better term, may be described as scientific. The impressimprimaturof Science is its rational coherence, justifying or justified by sense data, by physical experience, which gives us the pattern or model of an inexorable natural law. Here too we feel we are in the domain of such natural law but lifted on to a higher level.
  

01.03 - Rationalism, #Collected Works of Nolini Kanta Gupta - Vol 01, #Nolini Kanta Gupta, #Integral Yoga
  
   What is Reason, the faculty that is said to be the proud privilege of man, the sovereign instrument he alone possesses for the purpose of knowing? What is the value of knowledge that Reason gives? For it is the manner of knowing, the particular faculty or instrument by which we know, that determines the nature and content of knowledge. Reason is the collecting of available sense-perceptions and a certain mode of working upon them. It has three component elements that have been defined as observation, classification and deduction. Now, the very composition of Reason shows that it cannot be a perfect instrument of knowledge; the limitations are the inherent limitations of the component elements. As regards observation there is a two-fold limitation. First, observation is a relative term and variable quantity. One observes through the prism of one's own observing faculty, through the bias of one's own personality and no two persons can have absolutely the same manner of observation. So Science has recognised the necessity of personal equation and has created an imaginary observer, a "mean man" as the standard of reference. And this already takes us far away from the truth, from the reality. Secondly, observation is limited by its scope. All the facts of the world, all sense-perceptions possible and actual cannot be included within any observation however large, however collective it may be. We have to go always upon a limited amount of data, we are able to construct only a partial and sketchy view of the surface of existence. And then it is these few and doubtful facts that Reason seeks to arrange and classify. That classification may hold good for certain immediate ends, for a temporary understanding of the world and its forces, either in order to satisfy our curiosity or to gain some practical utility. For when we want to consider the world only in its immediate relation to us, a few and even doubtful facts are sufficient the more immediate the relation, the more immaterial the doubtfulness and insufficiency of facts. We may quite confidently go a step in darkness, but to walk a mile we do require light and certainty. Our scientific classification has a background of uncertainty, if not, of falsity; and our deduction also, even while correct within a very narrow range of space and time, cannot escape the fundamental vices of observation and classification upon which it is based.
  
  --
  
   Now the question is, does Reason never fail? Is it such a perfect instrument as intellectualists think it to be? There is ground for serious misgivings. Reason says, for example, that the earth revolves round the sun: and reason, it is argued, is right, for we see that all the facts are conformableto it, even facts that were hitherto unknown and are now coming into our ken. But the difficulty is that Reason did not say that always in the past and may not say that always in the future. The old astronomers could explain the universe by holding quite a contrary theory and could fit into it all their astronomical data. A future scientist may come and explain the matter in quite a different way from either. It is only a choice of workable theories that Reason seems to offer; we do not know the fact itself, apart perhaps from exactly the amount that immediate sense-perception gives to each of us. Or again, if we take an example of another category, we may ask, does God exist? A candid Rationalist would say that he does not know although he has his own opinion about the matter. Evidently, Reason cannot solve all the problems that it meets; it can judge only truths that are of a certain type.
  

03.02 - Aspects of Modernism, #Collected Works of Nolini Kanta Gupta - Vol 01, #Nolini Kanta Gupta, #Integral Yoga
  
   The scientific spirit, in one word, is rationalisationrationalisation of Mind as well as of Life. With regard to Mind, rationalisation means to get knowledge exclusively on the data of the senses; it is the formulation, in laws and principles, of facts observed by the physical organs, these laws and principles being the categories of the arranging, classifying, generalising faculty, called reason; its methodology also demands that the laws are to be as few as possible embracing as many facts as possible. Rationalisation of life means the government of life in accordance with these laws, so that the wastage in natural life due to the diversity and disparity off acts may be eliminated, at least minimised, and all movements of life ordered and organised in view of a single and constant purpose (which is perhaps the enhancement of the value of life). This rationalisation means further, in effect, mechanisation or efficiency, as its protagonists would prefer to call it. However, mechanistic efficiency, whether in the matter of knowledge or of lifeof mind or of morals was the motto of the early period of the gospel of science, the age of Huxley and Haeckel, of Bentham and the Mills. The formula no longer holds good either in the field of pure knowledge or in its application to life; it does not embody the aspiration and outlook of the contemporary mind, in spite of such inveterate rationalists as Russell and Wells or even Shaw (in Back to Methuselah, for example), who seem to be already becoming an anachronism in the present age.
  

03.14 - From the Known to the Unknown?, #Collected Works of Nolini Kanta Gupta - Vol 02, #Nolini Kanta Gupta, #Integral Yoga
  
   For may not the contrary motto" from the unknown to the known"be equally valid, both as a matter of fact and as a matter of principle? Do we not, sometimes at least, take for granted and start with the unknown number x to find out the solution to our problem? Why go far, the very first step that the child takes in his adventurous journey of life, is it not a veritable step into the unknown? Indeed, many, in fact most of the scientific laws the Laws of Natureare they strictly the result of calculation and deduction from known and observed data or are they not rather "brilliant surmises", "sudden revelations" that overwhelm by their un-expected appearance? Newton did not arrive at his Law of Gravitation in the trail of a logical argument from given premises towards unforeseen conclusions. Nor did Einstein discover his version of the Law in any syllogistic way either. The fact seems to be more often true that the unknown reveals itself all on a sudden and is not reached through a continuous series of known steps. Examples could be easily multiplied from the history of scientific discoveries.
  

04.01 - The March of Civilisation, #Collected Works of Nolini Kanta Gupta - Vol 01, #Nolini Kanta Gupta, #Integral Yoga
  
   If we look at Europe once again and cast a glance at its origins, we find at the source the Grco-Roman culture. It was pre-eminently a culture based upon the powers of mind and reason: it included a strong and balanced body (both body natural and body politic) under the aegis of mens sana (a sound mind). The light that was Greece was at its zenith a power of the higher mind and intelligence, intuitively dynamic in one the earlierphase through Plato, Pythagoras, Heraclitus and the mystic philosophers, and discursively and scientifically rational through the Aristotelian tradition. The practical and robust Roman did not indulge in the loftier and subtler activities of the higher or intuitive mind; his was applied intelligence and its characteristic turn found expression in law and order and governance. Virgil was a representative poet of the race; finely sensitive and yet very self-consciousearth-bound and mind-boundas a creative artist: a clear and careful intelligence with an idealistic imagination that is yet sober and fancy-free is the very hall mark of his poetic genius. In the post-Roman age this bias for mental consciousness or the play of reason and intellectual understanding moved towards the superficial and more formal faculties of the brain ending in what is called scholasticism: it meant stagnation and decadence. It is out of this slough that the Renaissance raised the mind of Europe and bathed it with a new light. That movement gave to the mind a wider scope, an alert curiosity, a keener understanding; it is, as I have said, the beginning of that modern mentality which is known as the scientific outlook, that is to say, study of facts and induction from given data, observation and experience and experiment instead of the other scholastic standpoint which goes by a priori theorising and abstraction and deduction and dogmatism.
  

04.07 - Matter Aspires, #Collected Works of Nolini Kanta Gupta - Vol 01, #Nolini Kanta Gupta, #Integral Yoga
  
   I said it is an amusing discussion. But what is apt to be forgotten in such "scientific" discussions is, as has been pointed out by Rev. Trethowan in his criticism of Sir Robert, that all genuine creation is a freak, that is to say, it is a movement of freedom, of incalculable spontaneity. A machine is exactly the sum of its component parts; it can give that work (both as regards quantity and quality) which is confined within the frame and function of the parts. Man's creative power is precisely this that it can make two and two not merely four but infinity. There is a force of intervention in him whichupsets the rule of the parallelogram of forces that normally governs Matter and even his own physical brain and mind. There is in him truly a deus ex machine. Poetry, art, all creative act is a revelation, an intrusion of a truth, a reality from another plane, of quite a different order, into the rigid actuality and factual determinism.. Man's secret person is a sovereignly free will. A machine is wholly composed of actualities-the given-and brings out only a resultant of the permutation and combination of the data: it is a pure deduction.
  

05.06 - Physics or philosophy, #Collected Works of Nolini Kanta Gupta - Vol 01, #Nolini Kanta Gupta, #Integral Yoga
  
   The principle of indeterminacy carries two revolutionary implications. First, that it is not possible to determine the movement of the ultimate particles of matter individually and severally, it is not possible even theoretically to follow up the chain of modulations of an electron from its birth to its dissolution (if such is the curve of its destiny), as Laplace considered it quite possible for his super-mathematician. One cannot trace the complete evolution of each and every or even one particular particle, not because of a limitation in the human capacity, but because of an inherent impossibility in the nature of things. In radioactive substances, for example, there is no ground or data from which one can determine which particle will go off or not, whether it will go off the chance that seems to reign here. In radiation too, there is no formula, and no formula can be framed for determining the course of a photon in relation to a half-reflecting surface, whether it will pass through or be reflected. In this field of infinitesimals what we know is the total behaviour of an assemblage of particles, and the laws of nature are only laws of average computation. Statistics has ousted the more exact and rigid arithmetics. And statistics, we know, is a precarious science: the knowledge it gives is contingent, contingent upon the particular way of arranging and classifying the data. However, the certainty of classical mechanistic knowledge is gone, gone too the principle of uniformity of nature.
  
  --
  
   So the scientists of today are waking up to this disconcerting fact. And some have put the question very boldly and frankly: do not all laws of Nature contain this original sin of the observer's interference, indeed may not the laws be nothing else but that? Thus Science has landed into the very heart the bog and quagmire, if you likeof abstruse metaphysics. Eddington says, there is no other go for Science today but to admit and delcare that its scheme and pattern of things, as described by what is called laws of Nature, is only a mental construct of the Scientist. The "wonderful" discoveries are nothing but jugglery and legerdemain of the mindwhat it puts out of itself unconsciously into the outside world, it recovers again and is astonished at the miracle. A scientific law is a pure deduction from the mind's own disposition. Eddington goes so far as to say that if a scientist is sufficiently introspective he can trace out from within his brain each and every law of Nature which he took so much pains to fish out from Nature by observation and experiment. Eddington gives an analogy to explain the nature of scientific law and scientific discovery. Suppose you have a fishing net of a particular size and with interstices of a particular dimension; you throw it into the sea and pull out with fishes in it. Now you count and assort the fishes, and according to the data thus obtained, you declare that the entire sea consists of so many varieties of fish and of such sizes. The only error is that you could not take into account the smaller fishes that escaped through the interstices and the bigger ones that did not at all fall into the net. Scientific statistics is something of this kind. Our mind is the net, and the pattern of Nature is determined by the mind's own pattern.
  

05.08 - An Age of Revolution, #Collected Works of Nolini Kanta Gupta - Vol 01, #Nolini Kanta Gupta, #Integral Yoga
  
   That is how we have been led almost to the threshold of a will, of a life principle, of a consciousness, however rudimentary, imbedded in the heart of Matter. All the facts that are now cropping up, the new discoveries that are being made and which we have to take into cognisance lead inevitably towards such a conclusion. Without such a conclusion a rational co-ordination of all the data of experience is hardly possible. A physical scientist may not feel justified to go beyond the purely physical data, but the implications of even such data, the demand for a fair hypothesis that can harmonise and synthesise them are compelling even a physicist to become a psychologist and a metaphysician.
  

1.00 - The Constitution of the Human Being, #Theosophy, #Alice Bailey, #Occultism
   p. 10
   regard the objects in reference to themselves personally. They lack the gauge of pleasure and displeasure, attraction and repulsion, usefulness and harmfulness; this gauge they have to renounce entirely. They should, as dispassionate and, so to speak, divine beings, seek and examine what is, and not what gratifies. Thus the true botanist should not be affected either by the beauty or by the usefulness of the plants. He has to study their structure and their relation to the rest of the vegetable kingdom; and just as they are one and all enticed forth and shone upon by the sun, so should he with an equable, quiet glance look at and survey them all and obtain the gauge for this knowledge, the data for his deductions, not out of himself, but from within the circle of things which he observes."
  

1.01 - Necessity for knowledge of the whole human being for a genuine education., #The Essentials of Education, #unset, #Philosophy
  
  As far as this life period is concerned, if a civilization never spoke of education and in its elementary, primitive way simply educated, it would have a much healthier outlook than ours. This was true of the ancient Eastern regions, which had no educa- tion in our sense of the word. There the adults body, soul, and spirit was allowed to affect the child so that the child could take this adult as a guide, moving a muscle when the teacher moved a muscle and blinking when the teacher blinked. The teacher was trained to do this in a way that enabled the child to imitate. Such a teacher was not as the Western pedagogue, but the Eastern data. 3 A certain instinctive quality was behind this. Even today, its obvious that what Ive learned is totally irrelevant in terms of my ability to teach a child effectively before the change of teeth. After the change of teeth, the teachers knowledge begins to have some significance; but this is lost again, if I merely impart what I learned as it lives in me. It all has to be transformed artistically and made into images, as we shall see later. I have to awaken invis- ible forces between the child and myself.
  3. In Sanskrit, the giver.

1.01 - Principles of Practical Psycho therapy, #The Practice of Psycho therapy, #Carl Jung, #Psychology
  of these methods and theories is justified up to a point, since each can
  boast not only of certain successes but of psychological data that largely
  prove its particular assumption. Thus we are faced in psycho therapy

1.01 - The Cycle of Society, #The Human Cycle, #Sri Aurobindo, #Integral Yoga
  
  Modern Science, obsessed with the greatness of its physical discoveries and the idea of the sole existence of Matter, has long attempted to base upon physical data even its study of Soul and Mind and of those workings of Nature in man and animal in which a knowledge of psychology is as important as any of the physical sciences. Its very psychology founded itself upon physiology and the scrutiny of the brain and nervous system. It is not surprising therefore that in history and sociology attention should have been concentrated on the external data, laws, institutions, rites, customs, economic factors and developments, while the deeper psychological elements so important in the activities of a mental, emotional, ideative being like man have been very much neglected. This kind of science would explain history and social development as much as possible by economic necessity or motive,by economy understood in its widest sense. There are even historians who deny or put aside as of a very subsidiary importance the working of the idea and the influence of the thinker in the development of human institutions. The French Revolution, it is thought, would have happened just as it did and when it did, by economic necessity, even if Rousseau and Voltaire had never written and the eighteenth-century philosophic movement in the world of thought had never worked out its bold and radical speculations.
  

1.02 - In the Beginning, #unset, #Rabbi Moses Luzzatto, #Kabbalah
  
  This is why certain systems of theology, in order to escape from the contradictory postulate of unity as a cause, have sought in a less unproductive dualism the explanation of the beginning of things. And although they have by a misdirected mysticism, falsified the term and distorted the idea, it is in them that we recover the tendencies most in harmony with the very data on which the belief in a divine Creator is founded.
  

1.02 - MAPS OF MEANING - THREE LEVELS OF ANALYSIS, #Maps of Meaning, #Jordan Peterson, #Psychology
  relevant level. Though this maneuver, the valence of something can appear similarly fixed. It is only this
  arbitrary restriction of data that makes understanding and action possible.
  We are adapted, as biological organisms, to construe our environment as a domain with particular
  --
  for two phenomena to be different, at one level of analysis, and similar at another.
  The question might be asked: upon what databank, so to speak, does a child draw, when he or she learns
  to talk (read, write)? The child listens to those around her. She is not explicitly taught how to talk,
  --
  in all interpersonal interactions, and in all self-conscious states: is portrayal of those aspects of an infinitely
  complex set of data which have at least been experienced, if not exhausted. Representation of the unknown,
  however, appears impossible appears as a contradiction in terms. How can what has not yet been

1.02 - The Two Negations 1 - The Materialist Denial, #The Life Divine, #Sri Aurobindo, #Integral Yoga
  3:If we assert only pure Spirit and a mechanical unintelligent substance or energy, calling one God or Soul and the other Nature, the inevitable end will be that we shall either deny God or else turn from Nature. For both Thought and Life, a choice then becomes imperative. Thought comes to deny the one as an illusion of the imagination or the other as an illusion of the senses; Life comes to fix on the immaterial and flee from itself in a disgust or a self-forgetting ecstasy, or else to deny its own immortality and take its orientation away from God and towards the animal. Purusha and Prakriti, the passively luminous Soul of the Sankhyas and their mechanically active Energy, have nothing in common, not even their opposite modes of inertia; their antinomies can only be resolved by the cessation of the inertly driven Activity into the immutable Repose upon which it has been casting in vain the sterile procession of its images. Shankara's wordless, inactive Self and his Maya of many names and forms are equally disparate and irreconcilable entities; their rigid antagonism can terminate only by the dissolution of the multitudinous illusion into the sole Truth of an eternal Silence.
  4:The materialist has an easier field; it is possible for him by denying Spirit to arrive at a more readily convincing simplicity of statement, a real Monism, the Monism of Matter or else of Force. But in this rigidity of statement it is impossible for him to persist permanently. He too ends by positing an unknowable as inert, as remote from the known universe as the passive Purusha or the silent Atman. It serves no purpose but to put off by a vague concession the inexorable demands of Thought or to stand as an excuse for refusing to extend the limits of inquiry. Therefore, in these barren contradictions the human mind cannot rest satisfied. It must seek always a complete affirmation; it can find it only by a luminous reconciliation. To reach that reconciliation it must traverse the degrees which our inner consciousness imposes on us and, whether by objective method of analysis applied to Life and Mind as to Matter or by subjective synthesis and illumination, arrive at the repose of the ultimate unity without denying the energy of the expressive multiplicity. Only in such a complete and catholic affirmation can all the multiform and apparently contradictory data of existence be harmonised and the manifold conflicting forces which govern our thought and life discover the central Truth which they are here to symbolise and variously fulfil. Then only can our Thought, having attained a true centre, ceasing to wander in circles, work like the Brahman of the Upanishad, fixed and stable even in its play and its worldwide coursing, and our life, knowing its aim, serve it with a serene and settled joy and light as well as with a rhythmically discursive energy.
  5:But when that rhythm has once been disturbed, it is necessary and helpful that man should test separately, in their extreme assertion, each of the two great opposites. It is the mind's natural way of returning more perfectly to the affirmation it has lost. On the road it may attempt to rest in the intervening degrees, reducing all things into the terms of an original Life-Energy or of sensation or of Ideas; but these exclusive solutions have always an air of unreality. They may satisfy for a time the logical reason which deals only with pure ideas, but they cannot satisfy the mind's sense of actuality. For the mind knows that there is something behind itself which is not the Idea; it knows, on the other hand, that there is something within itself which is more than the vital Breath. Either Spirit or Matter can give it for a time some sense of ultimate reality; not so any of the principles that intervene. It must, therefore, go to the two extremes before it can return fruitfully upon the whole. For by its very nature, served by a sense that can perceive with distinctness only the parts of existence and by a speech that, also, can achieve distinctness only when it carefully divides and limits, the intellect is driven, having before it this multiplicity of elemental principles, to seek unity by reducing all ruthlessly to the terms of one. It attempts practically, in order to assert this one, to get rid of the others. To perceive the real source of their identity without this exclusive process, it must either have overleaped itself or must have completed the circuit only to find that all equally reduce themselves to That which escapes definition or description and is yet not only real but attainable. By whatever road we may travel, That is always the end at which we arrive and we can only escape it by refusing to complete the journey.

1.02 - The Vision of the Past, #Let Me Explain, #Pierre Teilhard de Chardin, #Christianity
  evolution of the nervous system and the brain? Let us look
  more closely in the light of the latest data supplied by the
  combined ingenuity of an army of research workers. As we

10.37 - The Golden Bridge, #Collected Works of Nolini Kanta Gupta - Vol 04, #Nolini Kanta Gupta, #Integral Yoga
  
   The movement of freeing the consciousness from the hold of sense-perceptions has continued and has attained an unprecedented success. Rational mind, in order to find its autonomy has abstracted itself so much from the data of life experiences that it has become almost an esoteric domain. Mathematical logic of today has brought forth a language that has almost no kinship with either the popular or the aristocratic tongue. Modern science has so much sublimated the facts of life, the contents of experience, that it has become only a system of geometrical formulae.
  

1.03 - Concerning the Archetypes, with Special Reference to the Anima Concept, #The Archetypes and the Collective Unconscious, #Carl Jung, #Psychology
  ucts in neurotic and psychotic case material. When one carefully
  considers this accumulation of data, it begins to seem probable
  that an archetype in its quiescent, unprojected state has no

1.03 - The Two Negations 2 - The Refusal of the Ascetic, #The Life Divine, #Sri Aurobindo, #Integral Yoga
  9:If we push the materialist conclusion far enough, we arrive at an insignificance and unreality in the life of the individual and the race which leaves us, logically, the option between either a feverish effort of the individual to snatch what he may from a transient existence, to "live his life", as it is said, or a dispassionate and objectless service of the race and the individual, knowing well that the latter is a transient fiction of the nervous mentality and the former only a little more long-lived collective form of the same regular nervous spasm of Matter. We work or enjoy under the impulsion of a material energy which deceives us with the brief delusion of life or with the nobler delusion of an ethical aim and a mental consummation. Materialism like spiritual Monism arrives at a Maya that is and yet is not, - is, for it is present and compelling, is not, for it is phenomenal and transitory in its works. At the other end, if we stress too much the unreality of the objective world, we arrive by a different road at similar but still more trenchant conclusions, - the fictitious character of the individual ego, the unreality and purposelessness of human existence, the return into the Non-Being or the relationless Absolute as the sole rational escape from the meaningless tangle of phenomenal life.
  10:And yet the question cannot be solved by logic arguing on the data of our ordinary physical existence; for in those data there is always a hiatus of experience which renders all argument inconclusive. We have, normally, neither any definitive experience of a cosmic mind or supermind not bound up with the life of the individual body, nor, on the other hand, any firm limit of experience which would justify us in supposing that our subjective self really depends upon the physical frame and can neither survive it nor enlarge itself beyond the individual body. Only by an extension of the field of our consciousness or an unhoped-for increase in our instruments of knowledge can the ancient quarrel be decided.
  11:The extension of our consciousness, to be satisfying, must necessarily be an inner enlargement from the individual into the cosmic existence. For the Witness, if he exists, is not the individual embodied mind born in the world, but that cosmic Consciousness embracing the universe and appearing as an immanent Intelligence in all its works to which either world subsists eternally and really as Its own active existence or else from which it is born and into which it disappears by an act of knowledge or by an act of conscious power. Not organised mind, but that which, calm and eternal, broods equally in the living earth and the living human body and to which mind and senses are dispensable instruments, is the Witness of cosmic existence and its Lord.

1.03 - The Uncreated, #unset, #Rabbi Moses Luzzatto, #Kabbalah
  
  The problem of the origin, so far as it concerns this Reality, can have no meaning; for in order to conceive it, our thought has to exclude the very data which constitute the problem. And, inversely, in the domain of concrete realities where all is a perpetual beginning, it is not merely once that the problem of the origin has to be posed, but as many times as there are objects in space and instants in Time.
  

1.04 - SOME REFLECTIONS ON PROGRESS, #The Future of Man, #Pierre Teilhard de Chardin, #Christianity
  system and the brain? Let us look more closely in the light of the
  latest data supplied by the combined ingenuity of an army of re-
  search workers. As we are beginning to realize, there are probably

1.04 - THE APPEARANCE OF ANOMALY - CHALLENGE TO THE SHARED MAP, #Maps of Meaning, #Jordan Peterson, #Psychology
  Figure 52: The Socially Destructive and Redemptive Journey of the Revolutionary Hero
  schematically presents the way of the savior. The individual troubled by anomalous and anxietyprovoking experiential data is suffering equally from the disintegration, rigidity or senility of the
  society within. The choice to process such data that is, to mine it for significance, and to destabilize
  the socially-constructed intrapsychic hierarchy of behavior and values, in consequence is equivalent,
  --
  perspective. The language-mediated interpersonal interaction characteristic of ever-larger human societies
  has provided that rapidly developing biological capacity with data whose sophistication and breadth is
  increasing exponentially. This means that the human mind increasingly manifests the capacity to upset

1.04 - The Gods of the Veda, #Vedic and Philological Studies, #Sri Aurobindo, #Integral Yoga
  
  We do not find that the Rishi Mahachamasya succeeded in getting his fourth vyahriti accepted by the great body of Vedantic thinkers. With a little reflection we can see the reason why. The vijnana or mahat is superior to reasoning. It sees and knows, hears and knows, remembers & knows by the ideal principles of drishti, sruti and smriti; it does not reason and know.Or withdrawing into the Mahan Atma, it is what it exercises itself upon and therefore knowsas it were, by conscious identity; for that is the nature of the Mahan Atma to be everything separately and collectively & know it as an object of his Knowledge and yet as himself. Always vijnana knows things in the whole & therefore in the part, in the mass & therefore in the particular. But when ideal knowledge, vijnana, looks out on the phenomenal world in its separate details, it then acquires an ambiguous nature. So long as it is not assailed by mind, it is still the pure buddhi and free from liability to errors. The pure buddhi may assign its reasons, but it knows first & reasons afterwards,to explain, not to justify. Assailed by mind, the ideal buddhi ceases to be pure, ceases to be ideal, becomes sensational, emotional, is obliged to found itself on data, ends not in knowledge but in opinion and is obliged to hold doubt with one hand even while it tries to grasp certainty by the other. For it is the nature of mind to be shackled & frightened by its data. It looks at things as entirely outside itself, separate from itself and it approaches them one by one, groups them & thus arrives at knowledge by synthesis; or if [it] looks at things in the mass, it has to appreciate them vaguely and then take its parts and qualities one by one, arriving at knowledge by a process of analysis. But it cannot be sure that the knowledge it acquires, is pure truth; it can never be safe against mixture of truth & error, against one-sided knowledge which leads to serious misconception, against its own sensations, passions, prejudices and false associations. Such truth as it gets can only be correct even so far as it goes, if all the essential data have been collected and scrupulously weighed without any false weights or any unconscious or semi-conscious interference with the balance. A difficult undertaking! So we can form reliable conclusions, and then too always with some reserve of doubt,about the past & the present.Of the future the mind can know nothing except in eternally fixed movements, for it has no data. We try to read the future from the past & present and make the most colossal blunders. The practical man of action who follows there his will, his intuition & his instinct, is far more likely to be correct than the scientific reasoner. Moreover, the mind has to rely for its data on the outer senses or on its own inner sensations & perceptions & it can never be sure that these are informing it correctly or are, even, in their nature anything but lying instruments. Therefore we say we know the objective world on the strength of a perpetual hypothesis. The subjective world we know only as in a dream, sure only of our own inner movements & the little we can learn from them about others, but there too sure only of this objective world & end always in conflict of transitory opinions, a doubt, a perhaps. Yet sure knowledge, indubitable Truth, the Vedic thinkers have held, is not only possible to mankind, but is the goal of our journey. Satyam eva jayate nanritam satyena pantha vitato devayanah yenakramantyrishayo hyaptakama yatra tat satyasya paramam nidhanam. Truth conquers and not falsehood, by truth the path has been extended which the gods follow, by which sages attaining all their desire arrive where is that Supreme Abode of Truth. The very eagerness of man for Truth, his untameable yearning towards an infinite reality, an infinite extension of knowledge, the fact that he has the conception of a fixed & firm truth, nay the very fact that error is possible & persistent, mare indications that pure Truth exists.We follow no chimaera as a supreme good, nor do the Powers of Darkness fight against a mere shadow. The ideal Truth is constantly coming down to us, constantly seeking to deliver us from our slavery to our senses and the magic circle of our limited data. It speaks to our hearts & creates the phenomenon of Faith, but the heart has its lawless & self-regarding emotions & disfigures the message. It speaks to the Imagination, our great intellectual instrument which liberates us from the immediate fact and opens the mind to infinite possibility; but the imagination has her pleasant fictions & her headlong creative impulse and exaggerates the truth & distorts & misplaces circumstances. It speaks to the intellect itself, bids it criticise its instruments by vichara and creates the critical reason, bids it approach the truth directly by a wide passionless & luminous use of the pure judgment, and creates shuddha buddhi or Kants pure reason; bids it divine truth & learn to hold the true divination & reject the counterfeit, and creates the intuitive reason & its guardian, intuitive discrimination or viveka. But the intellect is impatient of error, eager for immediate results and hurries to apply what it receives before it has waited & seen & understood. Therefore error maintains & even extends her reign. At last come the logician & modern rationalist thinker; disgusted with the exaggeration of these movements, seeing their errors, unable to see their indispensable utility, he sets about sweeping them away as intellectual rubbish, gets rid of faith, gets rid of flexibility of mind, gets rid of sympathy, pure reason & intuition, puts critical reason into an ill lightened dungeon & thinks now, delivered from these false issues, to compass truth by laborious observation & a rigid logic. To live on these dry & insufficient husks is the last fate of impure vijnanam or buddhi confined in the data of the mind & sensesuntil man wronged in his nature, cabined in his possibilities revolts & either prefers a luminous error or resumes his broadening & upward march.
  
  --
  
  We can now understand the intention of the Rishi in his last verse and the greatness of the climax to which he has been leading us. Saraswati is able to give impulsion to Truth and awaken to right thinking because she has access to the Maho Arnas, the great ocean. On that level of consciousness, we are usually it must be remembered asleep, sushupta. The chetana or waking consciousness has no access; it lies behind our active consciousness, is, as we might say, superconscious, for us, asleep. Saraswati brings it forward into active consciousness by means of the ketu or perceptive intelligence, that essential movement of mind which accepts & realises whatever is presented to it. To focus this ketu, this essential perception on the higher truth by drawing it away from the haphazard disorder of sensory data is the great aim of Yogic meditation. Saraswati by fixing essential perception on the satyam ritam brihat above makes ideal knowledge active and is able to inform it with all those plentiful movements of mind which she, dhiyavasu, vajebhir vajinivati, has prepared for the service of the Master of the sacrifice. She is able to govern all the movements of understanding without exception in their thousand diverse movements & give them the single impression of truth and right thinkingvisva dhiyo vi rajati. A governed & ordered activity of soul and mind, led by the Truth-illuminated intellect, is the aim of the sacrifice which Madhuchchhanda son of Viswamitra is offering to the Gods.
  

1.04 - Wherefore of World?, #unset, #Rabbi Moses Luzzatto, #Kabbalah
  
  Still, the mind is justified in translating its first data into its own language in preference to another. And, even, this preference is forced upon it. For what has more than anything else hampered its attempt to discover the cause of the world, is the search for it in a domain alien to the minds own activities. The problem of the initial movement will always remain insoluble to it, if the data are not first translated into psychological terms. It is in its own fundamental dynamism that it must discover the primary energy, in its own secret that it must seek for the secret of the universe.
  
  --
  
  It is, therefore, only an integral experience that can enable us to attain, beyond the multiple forms and successive depths of the reality, its ultimate sources. The discovery cannot be effected by the sole aid of the logical reason. The data of sensation must enter into it no less than those of the understanding, no less than those of the still more transcendent faculties of intuitive consciousness and of knowledge that is lived.
  
  When the mind, then, assembles these data and makes its language sufficiently supple to translate them synthetically, it perceives that each of them justifies from its own point of view one or other of the reasons which philosophies and religions have assigned for the existence of beings and of the world. And as the being within proceeds to resume them and make an integral whole of them all, it learns to discover by them the being itself and by the being the wherefore of the worlds.
  ***

1.05 - 2010 and 1956 - Doomsday?, #Preparing for the Miraculous, #George Van Vrekhem, #unset
  searching for extraterrestrial intelligence have published
  copiously, in almost total absence of data and in complete
  absence of any direct data, notes Henry Bauer dryly. But,
  as mentioned before, the search for exoplanets is on and110

1.05 - Knowledge by Aquaintance and Knowledge by Description, #The Problems of Philosophy, #Bertr and Russell, #Philosophy
  
  We may therefore sum up as follows what has been said concerning acquaintance with things that exist. We have acquaintance in sensation with the data of the outer senses, and in introspection with the data of what may be called the inner sense--thoughts, feelings, desires, etc.; we have acquaintance in memory with things which have been data either of the outer senses or of the inner sense. Further, it is probable, though not certain, that we have acquaintance with Self, as that which is aware of things or has desires towards things.
  

1.05 - The Creative Principle, #unset, #Rabbi Moses Luzzatto, #Kabbalah
  
  No doubt, in one of these points of view we find the elements of a psychological explanation of the world conceived as the result of a free act of will, of thought; in the other, on the contrary, are resumed all the data of a mechanical conception assuring the fact of evolution on the concrete base of a substantial realism, But, however contradictory all these theories may be in their form, they agree, in substance, in postulating as first fact an essential principle of existence, an absolute cause, personal or impersonal, a thing that is the mother of beings or a being that is the former of things.
  

1.05 - THE HOSTILE BROTHERS - ARCHETYPES OF RESPONSE TO THE UNKNOWN, #Maps of Meaning, #Jordan Peterson, #Psychology
  thinkers and existential theorists have attempted to abstract these ideas upward into higher consciousness,
  and to present them in logical and purely semantic form. Sufficient data have been gathered to present a
  compelling portrait of evil.

1.06 - Being Human and the Copernican Principle, #Preparing for the Miraculous, #George Van Vrekhem, #unset
  reason why Copernicus still needed so many cycles and epi
  cycles to make his model fit the data of observation. There
  fore, when we talk today about the Copernican system we

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Integral World - The Data and Methodologies of Integral Science, Kurt Koller
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Integral World - Meme distribution graphics, based on 2003 data of Global Values Network
Big Data in Little China
https://thoughtsandvisions-searle88.blogspot.com/2014/06/data-on-gopi-krishna-and-kundalini-world.html
https://thoughtsandvisions-searle88.blogspot.com/2015/03/biodata-on-blogger-robert-searle-2015.html
dedroidify.blogspot - nsa-data-center-meltdowns-force-year
https://esotericotherworlds.blogspot.com/2012/12/listing-of-data-on-metaphysics-of-mind.html
https://esotericotherworlds.blogspot.com/2019/05/biodata-on-robert-searlethe-blogger.html
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Wikipedia - Category:Geographic data and information organizations
Wikipedia - Category:Heaps (data structures)
Wikipedia - Category:Infobox mapframe without OSM relation ID on Wikidata
Wikipedia - Category:Metadata
Wikipedia - Category:Microsoft database software
Wikipedia - Category:MusicBrainz artist same as Wikidata
Wikipedia - Category:MusicBrainz release group same as Wikidata
Wikipedia - Category:National Portrait Gallery (London) person ID not in Wikidata
Wikipedia - Category:National Portrait Gallery (London) person ID same as Wikidata
Wikipedia - Category:Nobelprize template using Wikidata property P8024
Wikipedia - Category:No local image but image on Wikidata
Wikipedia - Category:Object-oriented database management systems
Wikipedia - Category:Official website different in Wikidata and Wikipedia
Wikipedia - Category:Official website not in Wikidata
Wikipedia - Category:Online databases
Wikipedia - Category:Open Library ID different from Wikidata
Wikipedia - Category:Open Library ID not in Wikidata
Wikipedia - Category:Open Library ID same as Wikidata
Wikipedia - Category:Pages using Sister project links with hidden wikidata
Wikipedia - Category:Pages using Sister project links with wikidata mismatch
Wikipedia - Category:Pages using Sister project links with wikidata namespace mismatch
Wikipedia - Category:Pages with timeline metadata
Wikipedia - Category:Person databases
Wikipedia - Category:Philosophical databases
Wikipedia - Category:Probabilistic data structures
Wikipedia - Category:Proprietary database management systems
Wikipedia - Category:Rajasthan articles missing geocoordinate data
Wikipedia - Category:Relational database management systems
Wikipedia - Category:Scientific Data Systems computers
Wikipedia - Category:Short description is different from Wikidata
Wikipedia - Category:Short description matches Wikidata
Wikipedia - Category:Short description with empty Wikidata description
Wikipedia - Category:SKBL template using Wikidata property P4963
Wikipedia - Category:Statistical data types
Wikipedia - Category talk:Short description is different from Wikidata
Wikipedia - Category talk:Short description with empty Wikidata description
Wikipedia - Category:Twitter username different from Wikidata
Wikipedia - Category:Twitter username not in Wikidata
Wikipedia - Category:Types of databases
Wikipedia - Category:VIAF different on Wikidata
Wikipedia - Category:Wikipedia categories tracking data not in Wikidata
Wikipedia - Category:Wikipedia categories tracking Wikidata differences
Wikipedia - Catholic-Hierarchy.org -- Online database of bishops and dioceses of the Roman & Eastern Catholic Churches
Wikipedia - Caudatoscelis caudata -- species of insect
Wikipedia - CBOR -- Data serialization format
Wikipedia - C data types
Wikipedia - CDC Cyber -- Range of mainframe-class supercomputers manufectured by Control Data Corporation (CDC) during the 1970s and 1980s
Wikipedia - CDDB -- Online database of CD information
Wikipedia - CD-ROM -- Pre-pressed compact disc containing computer data
Wikipedia - CD-Text -- CD-based format that allows for song information to be stored alongside audio data
Wikipedia - Central Agency for Public Mobilization and Statistics (Egypt) -- Egypt's principal government institution in charge of statistics and census data
Wikipedia - Central Statistics Office (Ireland) -- Ireland's principal government institution in charge of statistics and census data
Wikipedia - Cephalodiscida -- Order in the class Pterobranchia in the phylum Hemichordata
Wikipedia - Cha Meeyoung -- South Korean data scientist
Wikipedia - Chandata aglaja -- Species of moth
Wikipedia - Charles Denis Mee -- Data storage engineer, leader, author (b. 1927, d. -)
Wikipedia - Chartbeat -- Web data analytics company.
Wikipedia - Chart -- graphical representation of data
Wikipedia - Check sheet -- A form (document) used to collect data in real time at the location where the data is generated
Wikipedia - Checksum -- A small-size datum computed from digital data for detecting transmission errors
Wikipedia - Chief analytics officer -- Job title for the senior manager responsible for the analysis of data within an organization
Wikipedia - China Biographical Database -- Biographical database of Chinese people
Wikipedia - Chinese National Vulnerability Database -- Database
Wikipedia - Chlorissa viridata -- Species of moth
Wikipedia - Chloroclystis ambundata -- Species of insect
Wikipedia - Chris Mattmann -- American data scientist
Wikipedia - Christmas tree packet -- Unit of data used in information technology
Wikipedia - Christopher H. Bajorek -- Data storage engineer, inventor, technology leader (b. 1943, d. -)
Wikipedia - Civiqs -- Online polling and data analytics company
Wikipedia - Claudio Silva (computer scientist) -- Computer scientist and data scientist
Wikipedia - Climate Data Exchange -- Software framework for sharing climate data and models
Wikipedia - Climate Neutral Data Centre Pact
Wikipedia - Climate spiral -- Data visualization graphics of long-term trends of annual temperature anomalies
Wikipedia - Clipboard (computing) -- Data storage used to support copy and paste operations
Wikipedia - CLIWOC -- A research project to convert ships' logbook weather data into a computerised database
Wikipedia - Cloud computing -- Form of Internet-based computing that provides shared computer processing resources and data to computers and other devices on demand
Wikipedia - Cloud database
Wikipedia - Cloudinary -- American data storage company
Wikipedia - Cloud storage -- Model of computer data storage
Wikipedia - Cochrane Library -- Collection of databases in medicine and other healthcare specialties
Wikipedia - Codata (computer science)
Wikipedia - Codec -- Device or software for encoding or decoding a digital data stream
Wikipedia - Coenocalpe lapidata -- Species of moth
Wikipedia - COinS -- Bibliographic metadata embedding method
Wikipedia - Collection (abstract data type)
Wikipedia - Colocation centre -- Data center where servers from multiple customers are located
Wikipedia - Column (database)
Wikipedia - Comdb2 -- Database management system, relational, open source, developed by Bloomberg LP
Wikipedia - Commander Data
Wikipedia - Comma-separated values -- File format used to store data
Wikipedia - Commit (data management)
Wikipedia - Common Database on Designated Areas -- Database of European protected areas
Wikipedia - Common Data Set -- Common Data Set Initiative
Wikipedia - Common Reporting Standard -- 2014 OECD data sharing initiative
Wikipedia - Compact Disc Digital Audio -- Audio data format used on the compact disc
Wikipedia - Comparison of database tools
Wikipedia - Comparison of data modeling tools -- Comparison of notable data modeling tools
Wikipedia - Comparison of multi-model databases
Wikipedia - Comparison of object database management systems
Wikipedia - Comparison of object-relational database management systems
Wikipedia - Comparison of relational database management systems -- Wikimedia list article
Wikipedia - Competency dictionary -- A tool or data structure that includes all or most of the general competencies needed to cover all job families and competencies that are core or common to all jobs within an organization
Wikipedia - Complex data type
Wikipedia - Component-oriented database
Wikipedia - Composable disaggregated infrastructure -- data centers gain benefits of cloud computing with on-premises equipment
Wikipedia - Composite data type
Wikipedia - Compressed data structures
Wikipedia - Compressed data structure
Wikipedia - Compression of Genomic Re-Sequencing Data
Wikipedia - Compression of Genomic Sequencing Data
Wikipedia - Computational fluid dynamics -- Branch of fluid mechanics that uses numerical analysis and data structures to solve and analyze problems that involve fluid flows
Wikipedia - Computer data storage -- Storage of digital data readable by computers
Wikipedia - Computer memory -- Device used on a computer for storing data
Wikipedia - Computer says no -- Decision making based on data but without common sense
Wikipedia - Computer terminal -- Computer input/output device; an electronic or electromechanical hardware device that is used for entering data into, and displaying data from, a computer or a computing system update programming
Wikipedia - Conceptual data model
Wikipedia - Concurrent data structure
Wikipedia - Conference on Innovative Data Systems Research
Wikipedia - Conference on Knowledge Discovery and Data Mining
Wikipedia - Confidentiality -- Characteristic of data that is only shared with specified parties
Wikipedia - Confirmatory data analysis
Wikipedia - Consistency (database systems)
Wikipedia - Constant-weight code -- Method for encoding data in communications
Wikipedia - Constraint (database)
Wikipedia - Consultative Committee for Space Data Systems -- Coordinator of data standards for space communication
Wikipedia - Cons -- Function and primitive data structure in Lisp and other functional programming languages
Wikipedia - Container (abstract data type) -- Software class, data structure, or abstract data type (ADT) whose instances are collections of other objects
Wikipedia - Container (data structure)
Wikipedia - Control Data Corporation -- Defunct supercomputer firm
Wikipedia - Control Data
Wikipedia - Controlled image base -- Data pack for unclassified military digital imagery
Wikipedia - Controller-pilot data link communications -- Air traffic controlling method
Wikipedia - Cooperative Association for Internet Data Analysis
Wikipedia - Cooperative database -- anti-spam database type
Wikipedia - Copy number analysis -- Process of analyzing data produced by a test for DNA copy number variation
Wikipedia - Copy-on-write -- Programming technique for efficiently duplicating data
Wikipedia - Core architecture data model
Wikipedia - Core Data
Wikipedia - Core dump -- Record of computer memory data at one moment
Wikipedia - CoreLogic -- American business data company
Wikipedia - Correlation database
Wikipedia - Cortex Command -- Video game by Swedish studio Data Realms
Wikipedia - Costica Bradatan -- American philosopher
Wikipedia - Couchbase Server -- Open-source NoSQL database
Wikipedia - Count data
Wikipedia - Coupling Facility -- Hardware that allows multiple processors to access the same data on IBM mainframes
Wikipedia - Coverage data -- Digital representation of spatio-temporal phenomenon
Wikipedia - Cover tree -- Type of data structure
Wikipedia - COVID-19 datasets -- Datasets on COVID-19
Wikipedia - Creative Voice file -- Audio format for digital audio data
Wikipedia - Critical data studies
Wikipedia - Critical points of the elements (data page)
Wikipedia - Critical realism (philosophy of perception) -- The theory that some of our sense-data (for example, those of primary qualities) can and do accurately represent external objects, properties, and events
Wikipedia - Croatian Bureau of Statistics -- Croatia's principal government institution in charge of statistics and census data
Wikipedia - Cross Industry Standard Process for Data Mining
Wikipedia - Cross-industry standard process for data mining
Wikipedia - Cross-Linguistic Linked Data -- Linguistics database project
Wikipedia - Cross-sectional data -- A type of data collected by observing many subjects at the same point of time, or without regard to differences in time
Wikipedia - CSA (database company) -- American database company
Wikipedia - CURE data clustering algorithm
Wikipedia - CURL -- free URL data transfer client software
Wikipedia - Cursor (databases)
Wikipedia - Customer data platform -- Software creating a unified customer database accessible to other systems
Wikipedia - Cut, copy, and paste -- User-interface interaction technique for transferring text, data, files or objects from a source to a destination
Wikipedia - Cutter location -- position data for CNC milling machines
Wikipedia - Cyclanthera pedata -- Species of plant
Wikipedia - Cyclic redundancy check -- Type of hash function used to detect errors in data storage or transmission
Wikipedia - Dacom -- Fax and data company
Wikipedia - Dansk Datamatik Center -- Danish software research and development centre
Wikipedia - Dan Wagner (data scientist) -- American political consultant
Wikipedia - Dark Seal -- Data East arcade games
Wikipedia - Data2map -- Presentation mapping service provider
Wikipedia - Data3-Symantec Racing Team p/b Scody -- Australian cycling team
Wikipedia - Data8 -- Magnetic tape storage format
Wikipedia - Data abstraction
Wikipedia - Data access layer
Wikipedia - Data Access Manager -- Classic Mac OS API
Wikipedia - Data access object
Wikipedia - Data access -- Software and activities related to storing, retrieving, or acting on data housed in a database or other repository
Wikipedia - Data acquisition
Wikipedia - Data analysis techniques for fraud detection -- Data analysis techniques for fraud detection
Wikipedia - Data analysis -- a process of inspecting, cleansing, transforming and modeling data
Wikipedia - Data analyst
Wikipedia - Data Analytics Acceleration Library
Wikipedia - Data analytics
Wikipedia - Data and Knowledge Engineering
Wikipedia - Data anonymization
Wikipedia - Data archaeology -- Study of old data sources
Wikipedia - Data Architecture
Wikipedia - Data architecture
Wikipedia - Data architect
Wikipedia - Data art
Wikipedia - Data as a service -- Cloud computing term regarding readily-available data for consumers
Wikipedia - Data assimilation -- Technique for updating numerical model with observed data
Wikipedia - Data augmentation
Wikipedia - Data Authentication Algorithm
Wikipedia - Data bank
Wikipedia - Database abstraction layer
Wikipedia - Database activity monitoring
Wikipedia - Database administration
Wikipedia - Database administrator
Wikipedia - Database and Collections of Information Misappropriation Act
Wikipedia - Database application
Wikipedia - Database audit
Wikipedia - Database caching
Wikipedia - Database Center for Life Science
Wikipedia - Database-centric architecture
Wikipedia - Database cinema
Wikipedia - Database connection
Wikipedia - Database design
Wikipedia - Database Directive
Wikipedia - Database engine
Wikipedia - Database forensics
Wikipedia - Database index -- Data structure for query optimization in databases
Wikipedia - Database integrity
Wikipedia - Database journalism
Wikipedia - Database language
Wikipedia - Database log
Wikipedia - Database machine
Wikipedia - Database management systems
Wikipedia - Database management system
Wikipedia - Database management
Wikipedia - Database model
Wikipedia - Database normalization
Wikipedia - Database preservation
Wikipedia - Database publishing
Wikipedia - Database query language
Wikipedia - Database query
Wikipedia - Database record
Wikipedia - Database refactoring
Wikipedia - Database replication
Wikipedia - Database right -- Property right, protecting the investment made in compiling a database
Wikipedia - Database scalability
Wikipedia - Database schema
Wikipedia - Database security
Wikipedia - Database server -- Computer server providing database services
Wikipedia - Database storage structures
Wikipedia - Databases
Wikipedia - Database systems
Wikipedia - Database system
Wikipedia - Database Tables
Wikipedia - Database table
Wikipedia - Data Base Task Group
Wikipedia - Database testing
Wikipedia - Database theory
Wikipedia - Database transactions
Wikipedia - Database transaction
Wikipedia - Database trigger
Wikipedia - Database tuning
Wikipedia - Database virtualization
Wikipedia - Database -- Organized collection of data
Wikipedia - DataBlade
Wikipedia - Data blending
Wikipedia - Data breach
Wikipedia - Databricks
Wikipedia - Data buffer -- Region of a physical memory storage used to temporarily store data while it is being moved from one place to another
Wikipedia - Data cache
Wikipedia - Data cap -- Restriction imposed on the transfer of data
Wikipedia - DataCash -- Payment processing company
Wikipedia - Data center security -- Set of policies, precautions and practices to avoid unauthorized access and manipulation of a data center's resources
Wikipedia - Data centers
Wikipedia - Data center -- Building or room used to house computer servers and related equipment
Wikipedia - Data-centric security
Wikipedia - Data circuit-terminating equipment -- communications system component
Wikipedia - DataCite -- International not-for-profit organization which aims to improve data citation
Wikipedia - Data classification (business intelligence)
Wikipedia - Data cleaning
Wikipedia - Data cleansing -- Correcting inaccurate computer records
Wikipedia - Data clustering
Wikipedia - Data cluster -- Unit of disk space allocation for files and directories
Wikipedia - Data collection
Wikipedia - DATACOM/DB
Wikipedia - Datacom (disambiguation)
Wikipedia - Datacommons.org -- Knowledge repository integrating open datasets
Wikipedia - Data communications
Wikipedia - Data communication
Wikipedia - Data comparison
Wikipedia - Data compression ratio
Wikipedia - Data compression -- Process of encoding information using fewer bits than the original representation
Wikipedia - Data (computing) -- Quantities, characters, or symbols on which operations are performed by a computer
Wikipedia - Data conferencing
Wikipedia - Data, Context, and Interaction
Wikipedia - Data Control Block
Wikipedia - Data control language -- Syntax similar to a computer programming language used to control access to data stored in a database
Wikipedia - Data conversion
Wikipedia - Data corruption
Wikipedia - Datacoup -- New York based start up company
Wikipedia - Data cube
Wikipedia - Data curation
Wikipedia - Data Darbar
Wikipedia - Data deduplication -- Data processing technique to eliminate duplicate copies of repeating data
Wikipedia - Data defined storage
Wikipedia - Data Definition Language
Wikipedia - Data definition language -- Syntax for defining data structures
Wikipedia - Data degradation
Wikipedia - Data dependency
Wikipedia - Data Design System
Wikipedia - Data Desk
Wikipedia - Data dictionary
Wikipedia - Data differencing
Wikipedia - Data Discman -- Electronic book player
Wikipedia - Data Documentation Initiative
Wikipedia - Datadog -- Monitoring platform for cloud applications
Wikipedia - Data domain
Wikipedia - Data dredging
Wikipedia - Data-driven control system
Wikipedia - Data-driven programming
Wikipedia - Data duplication
Wikipedia - DATADVANCE
Wikipedia - Data economy -- Type of economy
Wikipedia - Data editing
Wikipedia - Data Encryption Standard -- Early unclassified symmetric-key block cipher
Wikipedia - Data encryption
Wikipedia - Data (Euclid)
Wikipedia - Data exchange language
Wikipedia - Data exchange
Wikipedia - Data Execution Prevention
Wikipedia - Data exfiltration
Wikipedia - Data extraction
Wikipedia - Data farming
Wikipedia - Data feed
Wikipedia - Datafication
Wikipedia - Data file
Wikipedia - Data flow analysis
Wikipedia - Data-flow analysis
Wikipedia - Dataflow architecture
Wikipedia - Data flow diagram
Wikipedia - Data-flow diagram
Wikipedia - Dataflow programming
Wikipedia - Data flow
Wikipedia - Dataflow
Wikipedia - Datafly algorithm
Wikipedia - Data Format Description Language
Wikipedia - Data format management
Wikipedia - Data fusion
Wikipedia - Data Garden -- Record label
Wikipedia - Data General Business Basic
Wikipedia - Data General Eclipse MV/8000
Wikipedia - Data General Eclipse S/200
Wikipedia - Data General Eclipse
Wikipedia - Data General Extended BASIC
Wikipedia - Data General Nova -- 16-bit minicomputer series
Wikipedia - Data General RDOS
Wikipedia - Data General
Wikipedia - Data.gov.uk
Wikipedia - Data.gov
Wikipedia - Datagram Congestion Control Protocol -- Message-oriented transport layer protocol
Wikipedia - Datagram Transport Layer Security -- Communications protocol; lets datagram-based applications communicate in a way designed to prevent eavesdropping, tampering, or message forgery
Wikipedia - Datagram -- Basic data transfer unit associated with a packet-switched network
Wikipedia - Data hierarchy
Wikipedia - Data import
Wikipedia - Data inconsistency
Wikipedia - Data independence
Wikipedia - Data (information)
Wikipedia - Data integration
Wikipedia - Data Integrity Field
Wikipedia - Data integrity
Wikipedia - Data-intensive computing
Wikipedia - Data Intercept Technology Unit -- US FBI special unit
Wikipedia - Data Interpretation
Wikipedia - Data in transit -- data that is currently traveling across a network
Wikipedia - Data journalism
Wikipedia - Data > Knowledge Engineering
Wikipedia - Data lake -- System or repository of data stored in its natural/raw format
Wikipedia - Data Language Interface
Wikipedia - Datalex -- Irish software company
Wikipedia - Data library
Wikipedia - Data lineage
Wikipedia - Data Link Layer
Wikipedia - Data link layer -- Point-to-point communications layer of the OSI model of computer networking
Wikipedia - Data link
Wikipedia - Data loading
Wikipedia - Data logging
Wikipedia - Datalogix
Wikipedia - Datalog
Wikipedia - Data loss prevention software -- Concept of data breach protection
Wikipedia - Data loss
Wikipedia - Data management platform
Wikipedia - Data Management
Wikipedia - Data management
Wikipedia - Data manipulation language
Wikipedia - Data mapper pattern
Wikipedia - Data mart
Wikipedia - DATAmatic 1000
Wikipedia - Datamation
Wikipedia - Data matrix (multivariate statistics)
Wikipedia - Data mediation
Wikipedia - Data migration
Wikipedia - Data Mining and Knowledge Discovery -- Peer-reviewed scientific journal
Wikipedia - Data Mining Extensions -- Query language
Wikipedia - Data Mining
Wikipedia - Data-mining
Wikipedia - Datamining
Wikipedia - Data mining -- Finding patterns in large data sets using complex computational methods
Wikipedia - Data model (GIS)
Wikipedia - Data modeling
Wikipedia - Data modelling
Wikipedia - Data model -- An abstract model that organizes elements of data and standardizes how they relate to on another and to real world entities.
Wikipedia - Data monitoring committee
Wikipedia - Datamonitor -- Market intelligence company
Wikipedia - Data mule -- Vehicle that physically moves digital storage media between locations
Wikipedia - Data munging
Wikipedia - Data network
Wikipedia - Datang station -- Guangzhou Metro station
Wikipedia - Data packet
Wikipedia - DATAPAC
Wikipedia - Data parallelism
Wikipedia - Data-parallelism
Wikipedia - Datapath
Wikipedia - Data philanthropy
Wikipedia - Dataphor
Wikipedia - DataPlay
Wikipedia - Dataplot
Wikipedia - Datapoint Corporation
Wikipedia - Data pointer
Wikipedia - Data point
Wikipedia - Datapoint
Wikipedia - Data portability
Wikipedia - Data pre-processing
Wikipedia - Data Presentation Architecture
Wikipedia - Data presentation architecture
Wikipedia - Data preservation
Wikipedia - Data privacy
Wikipedia - Data processing (disambiguation)
Wikipedia - Data Processing Management Association
Wikipedia - Data processing system
Wikipedia - Data processing unit -- Programmable electronic component
Wikipedia - Data processing
Wikipedia - Data profiling
Wikipedia - Data proliferation
Wikipedia - Data Protection Act 1998
Wikipedia - Data Protection API
Wikipedia - Data Protection Directive -- European Union directive which regulates the processing of personal data
Wikipedia - Data quality
Wikipedia - Data query language
Wikipedia - Data-rate units -- Unit of measurement
Wikipedia - Data Recall Diamond
Wikipedia - Data recovery -- Process of salvaging inaccessible data from corrupted or damaged secondary storage
Wikipedia - Data reduction
Wikipedia - Data redundancy
Wikipedia - Data Reference Model
Wikipedia - Data re-identification -- Identifying an anonymized person from deanomized data
Wikipedia - Data remanence -- Data that remains after deleting it
Wikipedia - Data Retention Directive
Wikipedia - Data retention
Wikipedia - Data retrieval
Wikipedia - Datarock -- Norwegian electronic rock band
Wikipedia - Data rot
Wikipedia - DATAR
Wikipedia - Data Science
Wikipedia - Data science
Wikipedia - Data scientist
Wikipedia - Data scraping -- Data extraction technique
Wikipedia - Data scrubbing -- Computer error correction technique
Wikipedia - Data security
Wikipedia - Data serialization
Wikipedia - Dataset
Wikipedia - Data set -- Collection of data
Wikipedia - Data sharing
Wikipedia - Datasheet -- Technical document summarizing performance and constraints of system components
Wikipedia - Data signaling rate -- Aggregate rate at which data pass a point in the transmission path of a data transmission system
Wikipedia - Data silos
Wikipedia - Data Source Name
Wikipedia - Datasource
Wikipedia - Dataspaces
Wikipedia - Data (Star Trek) -- Fictional character in the fictional Star Trek universe
Wikipedia - DataStax
Wikipedia - Data steward
Wikipedia - Data storage device
Wikipedia - Data storage tag
Wikipedia - Data Storage Technology -- Magnetic tape-based data storage format
Wikipedia - Data storage -- Recording of information in a storage medium
Wikipedia - Data store
Wikipedia - Data stream
Wikipedia - Datastream
Wikipedia - Data striping
Wikipedia - Data structure alignment -- The way data is arranged and accessed in computer memory, involving data alignment and data structure padding and packing, so that reads and writes to memory can be efficiently performed
Wikipedia - Data structure diagram
Wikipedia - Data structure (disambiguation)
Wikipedia - Data Structures
Wikipedia - Data structures
Wikipedia - Data Structure
Wikipedia - Data structure -- Particular way of storing and organizing data in a computer
Wikipedia - Data systems
Wikipedia - Data technology
Wikipedia - Data transfer object
Wikipedia - Data Transfer Project
Wikipedia - Data transformation (statistics)
Wikipedia - Data transformation
Wikipedia - Data transmission circuit
Wikipedia - Data transmission -- Transfer of data over a point-to-point or point-to-multipoint communication channel
Wikipedia - Data type
Wikipedia - Datatype
Wikipedia - Data URI scheme
Wikipedia - Data validation and reconciliation
Wikipedia - Data validation
Wikipedia - Data valuation -- Accounting term
Wikipedia - Data Vault Modeling
Wikipedia - Data vault modeling
Wikipedia - DataVault
Wikipedia - Data virtualization
Wikipedia - Data visualisation
Wikipedia - Data visualization -- Creation and study of the visual representation of data
Wikipedia - Data warehouse automation
Wikipedia - Data warehouses
Wikipedia - Data warehouse
Wikipedia - Data warehousing
Wikipedia - Data -- individual units of information
Wikipedia - Data (word) -- English word
Wikipedia - Data wrangling -- Restructuring data into a desired format
Wikipedia - Dataz -- Tanzanian rapper
Wikipedia - Dat (software) -- Data distribution software with a version control feature for tracking changes and publishing datasets
Wikipedia - Datto (company) -- American cybersecurity and data backup company
Wikipedia - David Warren (inventor) -- Australian inventor of the flight data recorder and cockpit voice recorder
Wikipedia - DBase -- Database management system
Wikipedia - DBpedia -- Online database project
Wikipedia - DBSCAN -- A density-based data clustering algorithm
Wikipedia - D (data language specification)
Wikipedia - DDR3 SDRAM -- Third generation of double-data-rate synchronous dynamic random-access memory
Wikipedia - DDR4 SDRAM -- Fourth generation of double-data-rate synchronous dynamic random-access memory
Wikipedia - DDR5 SDRAM -- Fifth generation of double-data-rate synchronous dynamic random-access memory
Wikipedia - Decimal data type
Wikipedia - DECIPHER -- Biological database
Wikipedia - Decompression tables -- Tabulated data that allow divers to determine a decompression schedule for a given dive profile and breathing gas
Wikipedia - Deductive database
Wikipedia - Deep packet inspection -- Type of data processing
Wikipedia - Defense Data Network
Wikipedia - Deflate -- Data compression algorithm
Wikipedia - Delimiter-separated values -- Store two-dimensional arrays of data by separating the values in each row with specific delimiter characters. Most database and spreadsheet programs are able to read or save data in a delimited format
Wikipedia - Delimiter -- Characters that specify the boundary between regions in a data stream
Wikipedia - Demandatam
Wikipedia - Demographics of Bihar -- demographic data on the Indian state
Wikipedia - Deniable encryption -- Encryption techniques where an adversary cannot prove that the plaintext data exists
Wikipedia - Densities of the elements (data page)
Wikipedia - Dependency theory (database theory)
Wikipedia - Dependent type -- Data type whose definition depends on a value
Wikipedia - Diablo Data Systems -- Computer hardware company, printers, disk drives
Wikipedia - Dialog (online database)
Wikipedia - Dichrorampha sedatana -- Species of moth
Wikipedia - Dictionary of Algorithms and Data Structures
Wikipedia - Dictionary of Scottish Architects -- Online database on architects and their works
Wikipedia - Difference list -- List data structure
Wikipedia - Digital artifact -- Undesired or unintended alteration in data introduced in a digital process by an involved technique and/or technology
Wikipedia - Digital Data Storage -- Computer data storage technology based on magnetic tape
Wikipedia - Digital data -- Discrete, discontinuous representation of information
Wikipedia - Digital library -- Online database of digital objects stored in electronic media formats and accessible via computers
Wikipedia - Digital Linear Tape -- Magnetic tape-based data storage technology
Wikipedia - Digital mapping -- Compiling data to create a visual image
Wikipedia - Digital signal -- Signal used to represent data as a sequence of discrete values
Wikipedia - Digital subscriber line -- Series of transfer standards in data transmission
Wikipedia - DIKW pyramid -- Data, information, knowledge, wisdom hierarchy
Wikipedia - Dimension (data warehouse) -- Structure that categorizes facts and measures in a data warehouse
Wikipedia - Dimethyl ether (data page) -- Information about a kind of ether
Wikipedia - Diodata Saluzzo Roero -- Italian writer
Wikipedia - Diode matrix -- 2-D grid of wires where data is represented by the presence or absence of diodes at nodes
Wikipedia - Dirty data
Wikipedia - Discogs -- Website and database about audio recordings
Wikipedia - Discrete cosine transform -- Technique representing data as sums of cosine functions
Wikipedia - Diseases Database
Wikipedia - Disjoint-set data structure
Wikipedia - Disparate system -- Data processing system without interaction with other computer data processing systems
Wikipedia - Display Data Channel -- Communication protocols
Wikipedia - Distributed database management system
Wikipedia - Distributed database
Wikipedia - Distributed Data Management Architecture
Wikipedia - Distributed data storage
Wikipedia - Distributed data store
Wikipedia - Distribution of wealth by country -- Statistical data that describes how wealth is distributed around the world
Wikipedia - Diversity index -- Quantitative measure that reflects how many different types are in a dataset
Wikipedia - Dive tables -- Tabulated data that allow divers to determine a decompression schedule for a given dive profile and breathing gas
Wikipedia - DNA Data Bank of Japan
Wikipedia - DNA database
Wikipedia - DNA digital data storage
Wikipedia - Document-oriented database -- A document-oriented NoSQL database, or document store, is a computer program designed for storing, retrieving and managing semi-structured, document-oriented information.
Wikipedia - Domain driven data mining
Wikipedia - DPVweb -- Database for virologists
Wikipedia - Draft:Astronomical Data Query Language -- Computer language for astronomical data
Wikipedia - Draft:Benzinga -- Financial, data, and media company based in Detroit, Michigan
Wikipedia - Draft:CSV (storage engine) -- Storage engine for the MySQL relational database management systems
Wikipedia - Draft:DuckDB -- Serverless relational database management system (RDBMS)
Wikipedia - Draft:La France a un incroyable talent (series 14) -- La France a un incroyable talent (series 14) Contestants data
Wikipedia - Draft:Montana Memory Project -- American historical database (1890-1978)
Wikipedia - Draft:Pachyderm (software) -- version-controlled data science platform
Wikipedia - Draft:RavenDB -- Open source document-oriented database
Wikipedia - Drama annotation -- Process of annotating the metadata of a drama
Wikipedia - Driver License Compact -- American interstate compact to share data between states
Wikipedia - Drizzle (database server)
Wikipedia - Drum memory -- Magnetic data storage device
Wikipedia - D subminiature military -- Electric/data connector used in aerospace, military, aviation, and electric cars
Wikipedia - Dublin Core -- Standardized set of metadata elements
Wikipedia - Dumb pipe -- Type of data network
Wikipedia - Dun & Bradstreet -- American business data company
Wikipedia - Durability (database systems)
Wikipedia - DVD -- Optical disc format for the storage and playback of digital video and other digital data
Wikipedia - DWARF -- Standardized debugging data format
Wikipedia - Dynamic Data Exchange
Wikipedia - Dynamic data structures
Wikipedia - Dyspessa pallidata -- Species of moth
Wikipedia - EARS-Net -- biological database
Wikipedia - East-west traffic -- denotes a direction of traffic flow within a data center
Wikipedia - E caudata -- Modified letter E used in transcribing old Gaelic, Latin and Old Norse texts
Wikipedia - ECC memory -- Self-correcting computer data storage
Wikipedia - ECL (data-centric programming language)
Wikipedia - EDA database
Wikipedia - Edge list -- Graph data structure
Wikipedia - Ed Hawkins (climatologist) -- Ed Hawkins, climate scientist known for data visualization graphics
Wikipedia - Edholm's law -- Law predicting that bandwidth and data rates double every 18 months
Wikipedia - Educational assessment -- Systematic process of documenting and using empirical data on the knowledge, skill, attitudes, and beliefs to refine programs and improve student learning
Wikipedia - Educational data mining
Wikipedia - EEPROM -- Computer memory used for small quantities of data
Wikipedia - Efficiently updatable neural network -- A neural network based evaluation function
Wikipedia - Elastic properties of the elements (data page)
Wikipedia - Electrical resistivities of the elements (data page)
Wikipedia - Electron affinity (data page)
Wikipedia - Electron configurations of the elements (data page)
Wikipedia - Electronegativities of the elements (data page)
Wikipedia - Electronic data capture
Wikipedia - Electronic Data Interchange
Wikipedia - Electronic data interchange
Wikipedia - Electronic data processing
Wikipedia - Electronic Data Systems -- American information technology company
Wikipedia - Electronic dictionary -- Dictionary whose data exists in digital form and can be accessed through a number of different media
Wikipedia - Elementary, Dear Data
Wikipedia - ELKI -- Data mining framework
Wikipedia - Embedded database
Wikipedia - Emily Gorcenski -- American data scientist and activist
Wikipedia - Empis bicuspidata -- Species of insect
Wikipedia - Empis candidata -- Species of insect
Wikipedia - Emporis -- Real estate data company based in Hamburg
Wikipedia - Endgame database
Wikipedia - Energy Citations Database -- United States Department of Energy database
Wikipedia - Engineering statistics -- Analysis of data by combining engineering and statistics
Wikipedia - Enhanced Data Rates for GSM Evolution
Wikipedia - Ensembl genome database project
Wikipedia - Enterprise Data Modeling
Wikipedia - Enterprise data modeling
Wikipedia - Enterprise Data Planning
Wikipedia - Entity-attribute-value model -- Type of data model
Wikipedia - Entity Data Model
Wikipedia - Entropy (anonymous data store)
Wikipedia - Entropy (information theory) -- Average rate at which information is produced by a stochastic source of data
Wikipedia - Enumerated type -- named set of data type values
Wikipedia - Epyaxa lucidata -- Species of moth endemic to New Zealand
Wikipedia - ERDF (data format)
Wikipedia - Erin Gustafson -- Data scientist
Wikipedia - Error bar -- Graphical representations of the variability of data
Wikipedia - Error correction code -- scheme for controlling errors in data over noisy communication channels
Wikipedia - Error detection and correction -- Techniques that enable reliable delivery of digital data over unreliable communication channels
Wikipedia - Ethernet frame -- Protocol data unit of Ethernet telecommunications technologies
Wikipedia - Ethnologue -- Database of the world's languages published by SIL International
Wikipedia - EU Open Data Portal -- Point of access to public data published by the European Union institutions, agencies and other bodies
Wikipedia - Euphorbia obcordata -- Species of plant
Wikipedia - Eupithecia biviridata -- Species of moth
Wikipedia - Eupithecia candidata -- Species of moth
Wikipedia - Eupithecia cordata -- Species of moth
Wikipedia - Eupithecia expallidata -- Species of moth
Wikipedia - Eupithecia gelidata -- Species of moth
Wikipedia - Eupithecia immundata -- Species of moth
Wikipedia - Eupithecia ochridata -- Species of moth
Wikipedia - Eupithecia sewardata -- Species of moth
Wikipedia - Eupithecia suboxydata -- Species of moth
Wikipedia - Eupithecia sucidata -- Species of moth
Wikipedia - Eupithecia undata -- Species of moth
Wikipedia - Eupterote undata -- Species of moth
Wikipedia - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
Wikipedia - European Data Protection Board -- EU body for implementing the GDPR
Wikipedia - EuroWordNet -- Computational linguistics database
Wikipedia - Evergestis pallidata -- Species of moth
Wikipedia - Evolutionary data mining
Wikipedia - Evolutionary Technologies International -- Former database company
Wikipedia - Evolution-Data Optimized
Wikipedia - Evolution Data Server
Wikipedia - Exactis -- Data broker involved with marketing
Wikipedia - Exadata
Wikipedia - Examples of data mining
Wikipedia - Exif -- Metadata standard in digital images
Wikipedia - Explicit data graph execution
Wikipedia - Exploratory Data Analysis
Wikipedia - Exploratory data analysis
Wikipedia - Expocode -- A unique alphanumeric identifier for cruise labels of research vessels to avoid confusion in oceanographic data management.
Wikipedia - EXPRESS (data modeling language)
Wikipedia - Express Data Path -- High performance packet data path in the Linux kernel
Wikipedia - Extensible Metadata Platform -- ISO standard
Wikipedia - External Data Representation
Wikipedia - Extrapolation -- Method for estimating new data outside known data points
Wikipedia - Extrasolar Planets Encyclopaedia -- Astronomical database
Wikipedia - Facebook-Cambridge Analytica data scandal -- March 2018 scandal involving personal data mining for political purposes
Wikipedia - Facial recognition system -- Technology capable of matching a face from an image against a database of faces
Wikipedia - Factba.se -- Website hosting a database of Donald Trump statements
Wikipedia - Fact (data warehouse)
Wikipedia - Fact table -- Data warehousing principle, a table consisting of the measurements, metrics or facts of a business process
Wikipedia - FAIR data -- Data compliant with the terms of the FAIR Data Principles
Wikipedia - Falcon (storage engine) -- Storage engine for the MySQL relational database management systems
Wikipedia - FalconStor Software -- American data management software company
Wikipedia - False positives and false negatives -- Types of error in data reporting
Wikipedia - False precision -- Error in numerical data
Wikipedia - FARME -- biological database
Wikipedia - FDA Adverse Event Reporting System -- US FDA supporting computerized database
Wikipedia - Federal Commissioner for Data Protection and Freedom of Information -- Position
Wikipedia - Federal Geographic Data Committee -- United States government committee coordinating geospatial data
Wikipedia - Federated database system
Wikipedia - Federated database
Wikipedia - Ferret Data Visualization and Analysis -- Earth science visualisation software
Wikipedia - Fiber Distributed Data Interface
Wikipedia - Ficus cordata -- Species of plant in the family Moraceae
Wikipedia - FIELDATA
Wikipedia - Fieldata -- Military communication project and ASCII precursor
Wikipedia - FileMaker -- Database management system
Wikipedia - File signature -- Data used to identify or verify the content of a file
Wikipedia - File size -- Measure of data usage by computer files
Wikipedia - Financial econometrics -- Method to financial market data
Wikipedia - Find a Grave -- online database of cemetery records
Wikipedia - Finis Conner -- Data storage entrepreneur (b. 1943, d. -)
Wikipedia - Finite state machine with datapath
Wikipedia - Firebird (database server) -- Relational database management system
Wikipedia - First Data -- American payments company
Wikipedia - FiveThirtyEight -- American data-based news website
Wikipedia - Fixed-point ocean observatory -- An autonomous system of automatic sensors and samplers that continuously gathers data from deep sea, water column and lower atmosphere, and transmits the data to shore in real or near real-time
Wikipedia - Flat file database
Wikipedia - Flat-file database -- Database stored as an ordinary unstructured file
Wikipedia - Flight test -- Branch of aeronautical engineering that develops and gathers data during flight.
Wikipedia - Flora of North America -- Book, website, database
Wikipedia - Flow control (data)
Wikipedia - Fordata language -- Austronesian language spoken in Maluku, Indonesia
Wikipedia - Forensic data analysis
Wikipedia - Foulum Data Center -- Planned Apple data center in Denmark
Wikipedia - FoundationDB -- Free and open-source multi-model NoSQL database developed by Apple
Wikipedia - Fourth Industrial Revolution -- Current trend of automation and data exchange in manufacturing technologies. It includes cyber-physical systems, the Internet of things and cloud computing
Wikipedia - Fourth normal form -- Normal form used in database normalization
Wikipedia - Frank Bisby -- Botanist and pioneer in developing taxonomy databases (1945-2011)
Wikipedia - Freebase (database) -- Online knowledge base (2007-2016)
Wikipedia - Freesound -- Collaborative database of audio snippets, samples, recordings, bleeps
Wikipedia - Frequent pattern discovery -- Technique for database mining
Wikipedia - Full-text database
Wikipedia - Fusion Drive -- Data storage technology
Wikipedia - Future Air Navigation System -- Avionics system which provides direct data link communication between the pilot and the air traffic controller
Wikipedia - Galit Shmueli -- Data scientist
Wikipedia - Galton's problem -- Problem of drawing inferences from cross-cultural data
Wikipedia - Gavaevodata -- The primordial bovine of Zoroastrian cosmogony and cosmology
Wikipedia - GC-Wiki -- British internal intelligence database
Wikipedia - GDAL -- Translator library for raster and vector geospatial data formats
Wikipedia - GData
Wikipedia - GEDCOM -- Specification for genealogical data
Wikipedia - Gemstone Database Management System
Wikipedia - Gemstone (database)
Wikipedia - GeneCards -- Human gene database maintained by the Weizmann Institute of Science
Wikipedia - Genedata -- Swiss bioinformatics company
Wikipedia - Gene Disease Database
Wikipedia - General Data Protection Regulation -- European Union regulation on the processing of personal data
Wikipedia - Generalized algebraic data types
Wikipedia - Generalized algebraic data type
Wikipedia - General Personal Data Protection Law -- Brazilian regulation on the processing of personal data
Wikipedia - Generic data model
Wikipedia - Generic Mapping Tools -- Open source collection of about 80 command-line tools for manipulating geographic and Cartesian data sets
Wikipedia - Generic Model Organism Database
Wikipedia - Genius Sports -- sports data and technology company
Wikipedia - Geographic data and information -- Data and information having an implicit or explicit association with a location
Wikipedia - Geographic information system -- System to capture, manage and present geographic data
Wikipedia - Geographic Names Information System -- Geographical database
Wikipedia - Geomatics -- Discipline concerned with the collection, distribution, storage, analysis, processing, presentation of geographic data or geographic information
Wikipedia - Geo (microformat) -- Microformat to create metadata for location properties.
Wikipedia - GeoNames -- Geographical database available and accessible through various web services
Wikipedia - GEOnet Names Server -- Database of geographical objects maintained by the United States National Geospatial-Intelligence Agency
Wikipedia - GeoPackage -- GIS data format
Wikipedia - Geophysical survey -- The systematic collection of geophysical data for spatial studies
Wikipedia - George Santangelo -- American genomicist and data scientist
Wikipedia - GeoServer -- Open-source geospatial data server, written in Java
Wikipedia - Geospatial metadata -- Metadata used for describing geospatial data
Wikipedia - GeoSTAC -- GIS set of spatial data and tools
Wikipedia - Geostatistics -- A branch of statistics focusing on spatial data sets
Wikipedia - Geo warping -- Adjustment of geo-referenced radar video data to be consistent with a geographical projection
Wikipedia - Ghana Open Data Initiative -- Government agency
Wikipedia - Giphy -- American online database and search engine
Wikipedia - Glacio-geological databases -- Data on glacially associated sedimentary deposits and erosional activity from former and current ice-sheets
Wikipedia - Global Biodiversity Information Facility -- Aggregator of scientific data on biodiversity; data portal
Wikipedia - GlobalData -- Data analytics and consulting firm
Wikipedia - Global Historical Climatology Network -- A database of temperature, precipitation and pressure records
Wikipedia - Global music industry market share data
Wikipedia - Global Ocean Data Analysis Project -- A synthesis project bringing together biogeochemical oceanographic data
Wikipedia - Global Terrorism Database -- Post-1970 terrorist incident database by the University of Maryland, College Park
Wikipedia - Glossary of backup terms -- List of definitions of terms and jargon related to computer data backups
Wikipedia - Glottolog -- Bibliographic database of the world's lesser-known languages, maintained at the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany.
Wikipedia - Goddard Earth Observing System -- integrated Earth system model and data assimilation system developed at NASA's GMAO
Wikipedia - Gold (Australian TV channel) -- Australian advertorial datacasting channel
Wikipedia - Google Cloud Dataflow
Wikipedia - Google Cloud Datastore
Wikipedia - Google data centers
Wikipedia - Google Data Liberation Front
Wikipedia - Google Dataset Search -- Search engine for datasets from Google
Wikipedia - Google Fusion Tables -- Data management web service
Wikipedia - Google Public Data Explorer
Wikipedia - Google Tables -- Cloud-based collaborative database software
Wikipedia - Government database
Wikipedia - Gracenote -- American data company
Wikipedia - Grafana -- Platform for data analytics and monitoring
Wikipedia - Grand Comics Database
Wikipedia - Graph (abstract data type)
Wikipedia - GraphBLAS -- API for graph data and graph operations
Wikipedia - Graph databases
Wikipedia - Graph Database
Wikipedia - Graph database -- Database that uses mathematical graphs to store and search data
Wikipedia - Graph (data structure)
Wikipedia - Graph data structure
Wikipedia - GraphQL -- Data query language developed by Facebook
Wikipedia - Graptolithina -- Subclass of Pterobranchia in the phylum Hemichordata
Wikipedia - Great Britain Historical GIS -- Database that documents and visualises the changing human geography of the British Isles
Wikipedia - GreeNC -- Wiki-database of plant lncRNAs
Wikipedia - Green data center -- Server facility which utilizes energy-efficient technologies
Wikipedia - Greenwood statistic -- Concept in spatial data analysis
Wikipedia - Grey box model -- Mathematical data production model with limited structure
Wikipedia - Grouped data
Wikipedia - Group method of data handling
Wikipedia - Guessing -- A swift conclusion drawn from data directly at hand
Wikipedia - Guide to Pharmacology -- pharmacology database
Wikipedia - GvSIG -- Desktop application for working with geographic data
Wikipedia - GWAS catalog -- Online database of genome-wide association study results
Wikipedia - GWAS Central -- Genetic association study database
Wikipedia - Hadley Wickham -- Data scientist, developer of R software
Wikipedia - Halloween Problem -- Phenomenon with database updates where a row is updated more than once
Wikipedia - HanCinema -- Korean film and drama database
Wikipedia - Hard disk drive -- Data storage device
Wikipedia - Hardnesses of the elements (data page)
Wikipedia - Hard privacy technologies -- Method of protecting data
Wikipedia - Harold T. Martin III -- American citizen accused of stealing digital data from the NSA
Wikipedia - Hash function -- Type of function that maps data of arbitrary size to data of fixed size
Wikipedia - Hashtag -- Metadata tag used on social networks consisting of a number sign followed by a word or phrase
Wikipedia - Hash tree (persistent data structure)
Wikipedia - Hazardous Substances Data Bank
Wikipedia - Hazelcast -- in-memory data grid
Wikipedia - HDMI -- Proprietary interface for transmitting digital audio and video data
Wikipedia - HDR10+ -- Video technology that adds dynamic metadata to HDR10 source files
Wikipedia - HDRi (data format)
Wikipedia - HD-Rosetta -- Permanent data storage device
Wikipedia - Head-of-line blocking -- A performance-limiting phenomenon in computer network data transfer
Wikipedia - Head-up display -- Transparent display presenting data within normal sight lines of the user
Wikipedia - Health Level 7 -- Set of standards for transfer of clinical and administrative data
Wikipedia - Heap (data structure) -- Computer science data structure
Wikipedia - Heat capacities of the elements (data page)
Wikipedia - Heats of fusion of the elements (data page)
Wikipedia - Heats of vaporization of the elements (data page)
Wikipedia - HeinOnline -- Online database for legal materials
Wikipedia - Helicia subcordata -- Species of plant in the family Proteaceae endemic to Papua New Guinea
Wikipedia - Heliomata cycladata -- Species of insect, common spring moth
Wikipedia - Help:Wikidata -- Page of the Wikipedia help on Wikidata
Wikipedia - Here Technologies -- Netherlands-based mapping data company
Wikipedia - Heterogeneous database system
Wikipedia - Hex dump -- Hexadecimal view of computer data
Wikipedia - Hierarchical database model
Wikipedia - Hierarchical database
Wikipedia - Hierarchical Data Format
Wikipedia - Hierarchical data
Wikipedia - Hierarchical modulation -- Signal processing technique for multiplexing/modulating multiple data streams into one stream, where base- and enhancement-layer symbols are synchronously overplayed before transmission; used in digital TV broadcast for graceful degradation
Wikipedia - High-Level Data Link Control
Wikipedia - Hilary Mason (data scientist) -- American data scientist
Wikipedia - Hi-MD -- MiniDisc-based magneto-optical media data storage format
Wikipedia - Hitachi Data Systems
Wikipedia - HOLMES 2 -- database of the United Kingdom government for major crimes
Wikipedia - Holographic data storage
Wikipedia - HP Data Protector
Wikipedia - HP Saturn -- Family of 4-bit datapath microprocessors
Wikipedia - HSQLDB -- Java-based database engine
Wikipedia - Human-readable medium -- representation of data or information that can be naturally read by humans
Wikipedia - Human resource management system -- Software for managing human resources, [[business process]]es and data
Wikipedia - Hydrelia percandidata -- Species of moth
Wikipedia - Hydrogen iodide (data page) -- Chemical data page
Wikipedia - Hyperdata
Wikipedia - IBM 2321 Data Cell
Wikipedia - IBM 3592 -- Magnetic tape-based data storage format
Wikipedia - IBM Db2 Family -- Relational model database server
Wikipedia - IBM Magstar MP 3570 -- Series of tape drives and data storage media formats by IBM
Wikipedia - IBM System/23 Datamaster
Wikipedia - IBM System R -- Relational database management system, first implementation of SQL
Wikipedia - IBM Watson Studio -- Software platform for data science
Wikipedia - ICANN -- American nonprofit organization that coordinates several Internet address databases
Wikipedia - ICWATCH -- Database of LinkedIn profiles hosted by WikilLeaks
Wikipedia - ID3 -- Metadata container
Wikipedia - Idaea pallidata -- Species of moth
Wikipedia - IEEE 1849 -- XML format for the interchange of high volume event data
Wikipedia - IEEE 1902.1 -- Low frequency wireless data communication protocol, also known as RuBee
Wikipedia - IEEE P1619 -- IEEE project for encryption of stored data
Wikipedia - IEEE Xplore -- Research database focused on computer science, electrical engineering, electronics, and allied fields
Wikipedia - Ilkay Altintas -- Turkish-American data and computer scientist
Wikipedia - IMDb -- Online database for movies, television, and video games
Wikipedia - Imperva -- Provider of cyber and data security products
Wikipedia - Imputation (statistics) -- Process of replacing missing data with substituted values
Wikipedia - Inceptionv3 -- Scientific data set
Wikipedia - Index (database)
Wikipedia - Indexed Database API
Wikipedia - Indian Data Relay Satellite System -- First launch due end 2020
Wikipedia - Indicator (metadata) -- Boolean value in metadata that may contain only the values true or false
Wikipedia - Inference attack -- Data mining technique
Wikipedia - InfiniDB -- Database management software company based in Frisco, Texas
Wikipedia - Infographic -- Graphic visual representations of information, data or knowledge intended to present information quickly and clearly
Wikipedia - Information art -- Emerging artforms inspired by data and information technology
Wikipedia - Information -- That which informs; the answer to a question of some kind; that from which data and knowledge can be derived
Wikipedia - InfoZoom -- Data analysis, business intelligence and data visualization software product
Wikipedia - Infrared Data Association
Wikipedia - Ingres (database)
Wikipedia - In-memory database
Wikipedia - InnoDB -- Storage engine for the MySQL database management system
Wikipedia - Inode -- Data structure describing a file-system object (e.g. file, directory) that stores the attributes and disk block location(s) of the object data
Wikipedia - Input method -- Operating system component or program that allows any data, such as keyboard strokes or mouse movements, to be received as input
Wikipedia - Instance data
Wikipedia - Integer (computer science) -- Datum of integral data type
Wikipedia - INTEGRALL -- biological database
Wikipedia - Integrated Data Store
Wikipedia - Integrated Ocean Observing System -- An organization of systems that routinely and continuously provides quality controlled data and information on current and future states of the oceans and Great Lakes
Wikipedia - Intelligence analysis -- Application of individual and collective cognitive methods to weigh data and test hypotheses within a secret socio-cultural context
Wikipedia - Intelligent database
Wikipedia - Interactive Data Language
Wikipedia - Interactive data visualization
Wikipedia - InterBase -- Relational database management system
Wikipedia - Interdata 7/32 and 8/32
Wikipedia - Interdata 8/32
Wikipedia - Interdisciplinary Centre for Mathematical and Computational Modelling -- Supercomputing and research data centre
Wikipedia - Interim Register of Marine and Nonmarine Genera -- Taxonomic database
Wikipedia - International Conference on Database Theory
Wikipedia - International Conference on Very Large Data Bases
Wikipedia - International Data Corporation
Wikipedia - International Data Encryption Algorithm
Wikipedia - International Data Group -- Publishing company
Wikipedia - International Journal of Data Warehousing and Mining
Wikipedia - International Nucleotide Sequence Database Collaboration
Wikipedia - International Plant Names Index -- Database of plant names
Wikipedia - International Standard Authority Data Number -- Proposed unique identifier registry for authority data entities
Wikipedia - Internet Adult Film Database -- Online database of US pornographic films and actors
Wikipedia - Internet Broadway Database -- Online database of Broadway theatre productions and their personnel
Wikipedia - Internet Movie Database
Wikipedia - Internet Movie Firearms Database
Wikipedia - Internet Speculative Fiction Database
Wikipedia - Internet traffic -- Flow of data across the Internet
Wikipedia - Interpolation -- Method for estimating new data within known data points
Wikipedia - Interrupt vector table -- Data structure
Wikipedia - Interxion -- Major European datacenter and backbone operator
Wikipedia - Intrusive research -- Gathering of data from individuals
Wikipedia - Ionization energies of the elements (data page)
Wikipedia - IP header -- Supplemental data in an IP packet
Wikipedia - IP routing -- Process used to determine which path a packet or datagram can be sent
Wikipedia - IPUMS -- World's largest individual-level population database
Wikipedia - Iridium satellite constellation -- Satellite constellation providing voice and data coverage
Wikipedia - Irish Statute Book -- Irish legal website/database
Wikipedia - ISCSI -- Internet Protocol-based storage networking standard for linking data storage facilities
Wikipedia - ISO/IEC 11179 -- standard for metadata registries
Wikipedia - Isolation (database systems)
Wikipedia - Isolepis inundata -- Species of plant
Wikipedia - Issikiomartyria nudata -- Moth species in family Micropterigidae
Wikipedia - Jane Hunter (scientist) -- Australian data scientist
Wikipedia - Japanese Movie Database -- Online database of films and actors
Wikipedia - JASPAR -- Open-access database storing curated, non-redundant transcription factor (TF) binding profiles
Wikipedia - Java Database Connectivity
Wikipedia - Java Data Mining
Wikipedia - Java Data Objects
Wikipedia - Java Metadata Interface
Wikipedia - Jaya Chakrabarti -- British data scientist, academic and business owner
Wikipedia - Jenny Bryan -- Data scientist, developer of R software
Wikipedia - Jewish Museum of the American West -- Online database of pioneer Jews of the western United States
Wikipedia - Joe job -- A spamming technique that sends out unsolicited e-mails using spoofed sender data
Wikipedia - Joint Level Interface Protocol -- Video equipment control data standard
Wikipedia - Jon Bois -- American sports journalist, data analytics journalist, and video presenter
Wikipedia - Jordan Antiquities Database and Information System -- Computer database of antiquities in Jordan
Wikipedia - Journaling file system -- File system that keeps track of not yet committed changes in a data structure called a M-bM-^@M-^\journalM-bM-^@M-^] (usually a circular log); when a system crash or power failure occurs, such file systems can be recovered online faster with less corruption
Wikipedia - Journal of Database Management
Wikipedia - JPL Small-Body Database -- Astronomy database
Wikipedia - JSONM-bM-^FM-^RURL -- Text-based data interchange format designed for use in a URL query string
Wikipedia - JSON -- Text-based open standard designed for human-readable data interchange
Wikipedia - Julia Silge -- American data scientist and software engineer
Wikipedia - Kaggle -- Internet platform for data science competitions
Wikipedia - Kate Calder -- American statistician and data scientist
Wikipedia - Ken Ofori-Atta -- Ghanaian economist and co-founder of Databank
Wikipedia - Key-value database -- Data storage paradigm
Wikipedia - KH Coder -- Qualitative data analysis software
Wikipedia - Labeled data
Wikipedia - LacED -- biological database
Wikipedia - Landmap -- Former spatial data download service
Wikipedia - Landolt-Bornstein -- Collection of property data in materials science
Wikipedia - LAN eXtensions for Instrumentation -- Standard for controlling instrumentation and data acquisition instrumentation over Ethernet
Wikipedia - La sbandata -- 1974 film by Salvatore Samperi
Wikipedia - Latastia longicaudata -- Species of lizard
Wikipedia - Laurie Frick -- American data artist
Wikipedia - LDAP Data Interchange Format -- Standard plain text data interchange format for representing LDAP (Lightweight Directory Access Protocol) directory content and update requests
Wikipedia - Learning object metadata
Wikipedia - Lecithocera cordata -- Species of moth in the genus Lecithocera
Wikipedia - Lecithocera cuspidata -- Species of moth in genus Lecithocera
Wikipedia - Lecithocera rotundata -- Species of moth in genus Lecithocera
Wikipedia - Legal Electronic Data Exchange Standard
Wikipedia - Legislation.gov.uk -- Official web-accessible database of the statute law of the United Kingdom
Wikipedia - Lempel-Ziv-Welch -- Universal lossless data compression algorithm
Wikipedia - LibLAS -- BSD-licensed C++ library for reading/writing ASPRS LAS lidar data
Wikipedia - Library of Efficient Data types and Algorithms
Wikipedia - Library of Latin Texts -- Database of Latin texts
Wikipedia - Linear data structure
Wikipedia - Linear interpolation -- method of curve fitting to construct new data points within the range of known data points
Wikipedia - Linear octree -- Data structure tree
Wikipedia - Linear seismic inversion -- Interpretation of seismic data using linear model
Wikipedia - Linear Tape-Open -- Magnetic tape-based data storage technology
Wikipedia - Line code -- Pattern used within a communications system to represent digital data
Wikipedia - Linguistic Data Consortium
Wikipedia - Link 16 -- NATO military tactical data exchange network
Wikipedia - Link 22 -- Military wireless data exchange standard
Wikipedia - Link analysis -- Investigative data-analysis technique
Wikipedia - Linked Data Notifications -- W3C Recommendation that describes a communications protocol
Wikipedia - Linked data structure
Wikipedia - Linked Data
Wikipedia - Linked data
Wikipedia - Linked list -- Data structure which is a linear collection of data elements, called nodes, each pointing to the next node by means of a pointer
Wikipedia - Linked Open Data
Wikipedia - List (abstract data type) -- Abstract data type used in computer science
Wikipedia - List of academic databases and search engines -- Wikipedia list article
Wikipedia - List of analyses of categorical data -- Wikipedia list article
Wikipedia - List of big data companies -- Wikimedia list article
Wikipedia - List of biodiversity databases -- Wikipedia list article
Wikipedia - List of biological databases
Wikipedia - List of chordate orders -- All the classes and orders of phylum Chordata
Wikipedia - List of databases using MVCC -- Wikipedia list article
Wikipedia - List of data breaches
Wikipedia - List of data deficient amphibians -- Wikipedia list article
Wikipedia - List of data deficient arthropods -- Wikipedia list article
Wikipedia - List of data deficient birds -- Wikipedia list article
Wikipedia - List of data deficient fishes -- Wikipedia list article
Wikipedia - List of data deficient insects -- Wikipedia list article
Wikipedia - List of data deficient invertebrates -- Wikipedia list article
Wikipedia - List of data deficient mammals -- Wikipedia list article
Wikipedia - List of data deficient molluscs -- Wikipedia list article
Wikipedia - List of data deficient plants -- Wikipedia list article
Wikipedia - List of data deficient reptiles -- Wikipedia list article
Wikipedia - List of data-erasing software -- Wikipedia list article
Wikipedia - List of data references for chemical elements -- Wikipedia list article
Wikipedia - List of datasets for machine learning research
Wikipedia - List of datasets for machine-learning research
Wikipedia - List of data structures -- Wikimedia list article
Wikipedia - List of data types of the Standard Libraries -- Wikimedia list article
Wikipedia - List of diet food creators -- Wikidata list
Wikipedia - List of Digimon Data Squad episodes -- Wikipedia list article
Wikipedia - List of Evolution-Data Optimized network equipment suppliers -- Wikipedia list article
Wikipedia - List of funding opportunity databases -- Wikipedia list article
Wikipedia - List of games released by Data East -- Wikipedia list article
Wikipedia - List of in-memory databases -- Wikipedia list article
Wikipedia - List of insects in the Red Data Book of Russia -- Wikipedia list article
Wikipedia - List of international databases on individual student achievement tests -- Wikipedia list article
Wikipedia - List of neuroscience databases -- Wikipedia list article
Wikipedia - List of online databases -- Wikipedia list article
Wikipedia - List of online music databases -- Wikimedia list article
Wikipedia - List of Prokaryotic names with Standing in Nomenclature -- Online database of prokaryotes taxonomy
Wikipedia - List of relational database management systems -- Wikipedia list article
Wikipedia - List of satellite map images with missing or unclear data -- Wikimedia list article
Wikipedia - List of satellites which have provided data on Earth's magnetosphere -- Wikipedia list article
Wikipedia - List of terms relating to algorithms and data structures
Wikipedia - List of the vascular plants in the Red Data Book of Russia -- Wikipedia list article
Wikipedia - Load-Hit-Store -- Data dependency in a CPU
Wikipedia - Local knowledge problem -- Observation that the data required for rational economic planning are distributed among individual actors
Wikipedia - Local regression -- Moving average and polynomial regression method for smoothing data
Wikipedia - Location-based service -- General class of computer program-level services that use location data to control features
Wikipedia - Lock (database)
Wikipedia - Logbook of The World -- Amateur radio verification database
Wikipedia - Logeion -- Database for Latin and Ancient Greek dictionaries
Wikipedia - Log file -- Chronological record of computer data processing operations
Wikipedia - Logical database design technique
Wikipedia - Logical data model
Wikipedia - Lossless compression -- Data compression approach allowing perfect reconstruction of the original data
Wikipedia - Lossless data compression
Wikipedia - Lossy data compression
Wikipedia - Lossy data conversion
Wikipedia - LOTS of data
Wikipedia - Luch (satellite) -- Russian data relay system
Wikipedia - Lumiere (database) -- Database of European film box office admissions
Wikipedia - LyricWiki -- Former lyrics database
Wikipedia - Machine-readable data
Wikipedia - Machine-readable dictionary -- Dictionary stored as machine (computer) data
Wikipedia - Machine-readable medium -- Medium capable of storing data in a format readable by a mechanical device
Wikipedia - Macleaya cordata -- Species of plant
Wikipedia - Madatapa Managed Reserve -- Protected nature area in Georgia (country)
Wikipedia - Magnetic storage -- The storage of data in a magnetizable medium through encoded patterns of magnetization
Wikipedia - Magnetic stripe card -- Card which stores data on a stripe of magnetic material
Wikipedia - Magnetic tape data storage -- Data storage technologies that use magnetic tape
Wikipedia - Magnetic tape -- Medium used to store data in the form of magnetic fields
Wikipedia - Magnolia denudata -- Species of plant
Wikipedia - Main memory database
Wikipedia - Maireana pyramidata -- Species of plant
Wikipedia - Malmea cuspidata -- Species of plant
Wikipedia - Management information base -- Database used for managing the entities in a communication network
Wikipedia - Manchester code -- A line code used in early magnetic data storage and Ethernet
Wikipedia - Manhattan plot -- Method to display data used in genetic analysis
Wikipedia - Many-to-many (data model)
Wikipedia - Maria Adeodata Pisani
Wikipedia - MariaDB -- Database management system, relational, open source, community developed fork of MySQL
Wikipedia - Marine Environmental Data and Information Network -- A United Kingdom organization created to curate marine environmental data
Wikipedia - Marine isotope stage -- Alternating warm and cool periods in the Earth's paleoclimate, deduced from oxygen isotope data
Wikipedia - Market data
Wikipedia - Master data
Wikipedia - Mathematics Genealogy Project -- Web-based database for the academic genealogy of mathematicians
Wikipedia - Matrix (protocol) -- Networking protocol for real-time communication and data synchronization
Wikipedia - Maximum parsimony (phylogenetics) -- Optimality criterion in which the shortest possible tree that explains the data is considered best
Wikipedia - Maximum transmission unit -- Size of the largest network layer protocol data unit that can be communicated in a single network transaction
Wikipedia - M-CM-^Mslendingabok (genealogical database) -- Database of Icelandic genealogy
Wikipedia - MD Data
Wikipedia - Measure (data warehouse)
Wikipedia - Media (communication) -- Storage and delivering agent of information or data
Wikipedia - Median -- Middle quantile of a data set or probability distribution
Wikipedia - Media player software -- Software that can play video and audio data
Wikipedia - Media processor -- Microprocessor-based system-on-a-chip which is designed to deal with digital streaming data such as images and video in real-time
Wikipedia - Medical data breach
Wikipedia - Medium-dependent interface -- interface between a network device and the data link it communicates over
Wikipedia - Megachile cordata -- Species of leafcutter bee (Megachile)
Wikipedia - Megachile nigrocaudata -- Species of leafcutter bee (Megachile)
Wikipedia - Megachile rufocaudata -- Species of leafcutter bee (Megachile)
Wikipedia - MEGARes -- Curated antibiotic resistance gene database
Wikipedia - Melhania rotundata -- Species of plant
Wikipedia - Melting points of the elements (data page)
Wikipedia - Memory architecture -- Methods used to implement electronic computer data storage
Wikipedia - Memory card -- Small, thin and removable digital data storage device, often designed to be semi-permanently installed inside a larger device
Wikipedia - Memory (storage engine) -- Storage engine for the MySQL relational database management systems
Wikipedia - Memory -- Faculty of brain to store and retrieve data
Wikipedia - Meredith Broussard -- Data journalism professor
Wikipedia - Merkle tree -- Type of data structure
Wikipedia - Metadata (CLI)
Wikipedia - Metadata (computing)
Wikipedia - Metadata controller -- Computer data storage technology
Wikipedia - Metadata discovery
Wikipedia - Metadata modeling
Wikipedia - Metadata Object Description Schema
Wikipedia - Metadata removal tool -- Privacy protecting software
Wikipedia - Meta data
Wikipedia - Meta-data
Wikipedia - Metadata -- Data about data
Wikipedia - Microarchitectural Data Sampling -- CPU vulnerabilities
Wikipedia - Microcotyle caudata -- Species of worms
Wikipedia - Microdata (HTML)
Wikipedia - MICRO Relational Database Management System
Wikipedia - Microsoft Access -- Database manager that is part of the Microsoft Office package
Wikipedia - Microsoft Azure SQL Database
Wikipedia - Microsoft Cinemania -- Film database released annually by Microsoft between 1992 and 1997
Wikipedia - Microsoft Data Access Components -- framework
Wikipedia - Microsoft Jet Database Engine
Wikipedia - Microsoft Live Labs Pivot -- Data exploration tool by Microsoft
Wikipedia - Microsoft SQL Server Data Engine
Wikipedia - Microsoft SQL Server -- Family of database software
Wikipedia - Migration Assistant (Apple) -- macOS software utility developed by Apple that transfers data from an existing computer or full drive backup to a new computer
Wikipedia - MINAS -- Database of Metal Ions in Nucleic AcidS
Wikipedia - Miriam Hatibi -- Data analyst and activist in Barcelona, Catalonia, Spain
Wikipedia - Misleading graph -- Graph that misrepresents data
Wikipedia - Missing data
Wikipedia - Mission 31 -- An undersea expedition organized by Fabien Cousteau in the undersea laboratory Aquarius in the Florida Keys, scuba diving to collect scientific data and IMAX footage
Wikipedia - Mitelman Database of Chromosome Aberrations and Gene Fusions in Cancer -- Medical database
Wikipedia - Mnemonist -- Person with the ability to recall large amounts of data
Wikipedia - MNIST database
Wikipedia - Mobile database
Wikipedia - Mobile data terminal
Wikipedia - Model 204 -- Database management system for IBM mainframes
Wikipedia - Mode (statistics) -- Value that appears most often in a set of data
Wikipedia - Module:Category handler/data
Wikipedia - Module:Icon/data
Wikipedia - Module:Namespace detect/data
Wikipedia - Module:WikidataIB/nolinks
Wikipedia - Module:WikidataIB/titleformats
Wikipedia - Module:WikidataIB
Wikipedia - Mohawk Data Sciences
Wikipedia - Mona Chalabi -- British data journalist
Wikipedia - MongoDB -- Cross-platform document-oriented database
Wikipedia - Mortality Medical Data System
Wikipedia - Motorcycle Hall of Fame -- American museum and database
Wikipedia - Motorola Solutions -- American data communications and telecommunications equipment provider
Wikipedia - Mount Data forest frog -- Species of amphibian
Wikipedia - Mouse Genome Database
Wikipedia - Moving average -- type of statistical measure over subsets of a dataset
Wikipedia - MRC Data -- Tracking system for music and music video sales
Wikipedia - MUBII-TB-DB -- biological database
Wikipedia - Multics Relational Data Store
Wikipedia - Multidimensional database
Wikipedia - Multilayer switch -- Network switch providing functionality beyond the data link layer
Wikipedia - Multimedia database
Wikipedia - Multi-model database -- Database management system
Wikipedia - Multiversion concurrency control -- Concurrency control method commonly used by database management systems
Wikipedia - MusicBrainz -- Online music metadata database
Wikipedia - MvirDB -- biological database
Wikipedia - MyAnimeList -- English-language anime and manga database website
Wikipedia - Myrciaria cordata -- Tree in the family Myrtaceae
Wikipedia - Myrciaria cuspidata -- Tree in the family Myrtaceae
Wikipedia - MySQL -- SQL database engine software
Wikipedia - Nadieh Bremer -- Data scientist and data visualization designer
Wikipedia - National Center for Biotechnology Information -- Database branch of the US National Library of Medicine
Wikipedia - National Centers for Environmental Information -- Active US archive of environmental data
Wikipedia - National Climatic Data Center -- Active US archive of weather data.
Wikipedia - National Crime Information Center -- US central database of crime-related information
Wikipedia - National Database > Registration Authority
Wikipedia - National Datacast -- American datacasting company
Wikipedia - National Data Corporation
Wikipedia - National Do Not Call Registry -- Telephone database in the United States
Wikipedia - National Ecological Observatory Network -- Organization providing ecological data in the United States
Wikipedia - National Geoscience Database of Iran -- Iranian Geoscience government agency
Wikipedia - National minimum dataset
Wikipedia - National Oceanographic Data Center -- One of the national environmental data centers operated by the National Oceanic and Atmospheric Administration
Wikipedia - National Population Commission -- Principle population commission of Nigeria in response of data collection
Wikipedia - National Register Information System -- Database of properties that have been listed on the United States National Register of Historic Places
Wikipedia - National Register of Citizens for Assam -- Indian citizenship database originally by Assam state
Wikipedia - National Snow and Ice Data Center
Wikipedia - National Vulnerability Database
Wikipedia - Navigational Database
Wikipedia - Navigational database -- Database in which records or objects are found by following references from other objects
Wikipedia - Nearly raw raster data
Wikipedia - Nectandra cordata -- Species of plant
Wikipedia - Negative database
Wikipedia - Neo4j -- free and open-source graph database implemented in Java
Wikipedia - Neogene of the Old World -- Database related to natural history
Wikipedia - Net neutrality -- Principle that Internet service providers should treat all data equally
Wikipedia - Network-attached storage -- Computer data storage server
Wikipedia - Network database model
Wikipedia - Network database
Wikipedia - Network delay -- Time required for data to traverse a network
Wikipedia - Networking hardware -- Devices that mediate data transmission in a computer network
Wikipedia - Network packet -- Formatted unit of data carried by a packet-switched network
Wikipedia - Neural Network Exchange Format -- artificial neural network data exchange format
Wikipedia - Neuron Data
Wikipedia - Neuroprivacy -- Rights to privacy regarding brain imaging and analysis of neural data
Wikipedia - Newbridge Networks -- Defunct Canadian voice and data networking company
Wikipedia - New Data Seal -- A block cipher
Wikipedia - NewsBank -- News database resource
Wikipedia - New South Wales Heritage Database -- Database maintained by the Office of Environment and Heritage (NSW, Australia)
Wikipedia - NewSQL -- Relational database management with a desiree scalable performance of NoSQL, by combining OLTP plus ACID schemes
Wikipedia - NGP VAN -- privately owned voter database and web hosting service provider
Wikipedia - Nielsen Data
Wikipedia - Nielsen Holdings -- American information, data and measurement company
Wikipedia - Nimbus Data -- American computer data storage software
Wikipedia - Ninne Pelladata (1968 film) -- 1968 Telugu-language film
Wikipedia - NIST Special Publication 800-92 -- Guidelines and recommendations for securing and managing sensitive log data
Wikipedia - Nmrpipe -- Data processing software for nuclear magnetic resonance
Wikipedia - NNDB -- Online biographical database
Wikipedia - Noisy-channel coding theorem -- Limit on data transfer rate
Wikipedia - Nokia Networks -- Multinational data networking and telecommunications equipment company
Wikipedia - Nominal data
Wikipedia - Non-orthogonal frequency-division multiplexing -- Method of encoding digital data on multiple carrier frequencies
Wikipedia - Nordic Data Grid Facility
Wikipedia - Nordstromia undata -- Species of hook-tip moth
Wikipedia - Normattiva -- Italian law database
Wikipedia - Norsk Data -- Norwegian computer manufacturer
Wikipedia - North-south traffic -- denotes a direction of traffic flow into and out of a data center
Wikipedia - NoSQL -- Database class for storage and retrieval of modeled data
Wikipedia - NOYB -- European data protection advocacy group
Wikipedia - NPL Data Communications Network
Wikipedia - Numerical data
Wikipedia - Nursing Minimum Data Set
Wikipedia - Nwipe -- Data erasure software
Wikipedia - NYU Center for Data Science
Wikipedia - O3b MEO -- Satellite constellation designed for telecommunications and data backhaul from remote locations
Wikipedia - OBD Memorial -- Russian government database project
Wikipedia - Object-based spatial database
Wikipedia - ObjectDatabase++
Wikipedia - Object database -- Database management system
Wikipedia - Object Data Management Group
Wikipedia - Object Data Manager
Wikipedia - ObjectDB -- Object database for Java
Wikipedia - Object-oriented database
Wikipedia - Object-relational database
Wikipedia - Ocean data acquisition system -- A set of instruments deployed at sea to collect as much meteorological and oceanographic data as possible.
Wikipedia - ODK (software) -- Open source data collection software
Wikipedia - Office for National Statistics -- United Kingdom's principal government institution in charge of statistics and census data
Wikipedia - Office of Personnel Management data breach -- Cyberattack stealing 20 million federal personnel records
Wikipedia - Offshore Leaks -- Disclosure of tax haven client data in 2013
Wikipedia - Olea europaea subsp. cuspidata -- Subspecies of the olive tree
Wikipedia - One-to-many (data model) -- relationship between entities
Wikipedia - One-to-one (data model)
Wikipedia - Online database
Wikipedia - On-Line Encyclopedia of Integer Sequences -- Online database of integer sequences
Wikipedia - Ontology-based data integration
Wikipedia - Opaque data type
Wikipedia - Open Archives Initiative Protocol for Metadata Harvesting
Wikipedia - Open Compute Project -- Organization that shares designs of data center products
Wikipedia - OpenCorporates -- Database on corporate entities
Wikipedia - Open Database Connectivity -- ODBC, standard interface for accessing database systems
Wikipedia - Open Database License -- Share-alike license for databases
Wikipedia - Open Data Indices
Wikipedia - Open Data Institute
Wikipedia - Open Data Now -- 2014 book by Joel Gurin
Wikipedia - Open Data
Wikipedia - Open data -- Practice of sharing data publicly and reusably
Wikipedia - Open format -- Published specification for storing digital data
Wikipedia - Open Genealogy Alliance -- Project researching effects of copyright of genealogical data
Wikipedia - OpenLayers -- JavaScript library for displaying map data in web browsers
Wikipedia - Open Library -- Online project for book data of the Internet Archive
Wikipedia - OpenNebula -- Cloud computing platform for managing heterogeneous distributed data center infrastructures
Wikipedia - Open Rack -- Rack meant to replace 19-inch racks in data centers
Wikipedia - Open science data
Wikipedia - OpenStreetMap -- Collaboratively edited world map available under free Open Database License
Wikipedia - Openwave -- American mobile data software company
Wikipedia - Operational database
Wikipedia - Operational data store
Wikipedia - Optical disc -- Flat, usually circular disc that encodes binary data
Wikipedia - Optical jukebox -- Robotic data storage device that can automatically load and unload optical discs, such as Compact Disc, DVD, Ultra Density Optical or Blu-ray and can provide terabytes and petabytes of tertiary storage
Wikipedia - Optical storage -- Method to store and retrieve computer data using optics
Wikipedia - Oracle Big Data Appliance
Wikipedia - Oracle database
Wikipedia - Oracle Database -- Proprietary database management system
Wikipedia - Oracle Data Mining
Wikipedia - Oracle Exadata
Wikipedia - Oracle NoSQL Database
Wikipedia - Oracle Template Library -- C++ library for database access
Wikipedia - Orders of magnitude (data) -- Computer data measurements and scales.
Wikipedia - Ordinal data type
Wikipedia - Ordinal data
Wikipedia - Ordinal regression -- Regression analysis for modeling ordinal data
Wikipedia - Oregon Performance Reporting Information System -- Database of workforce system in Oregon, USA
Wikipedia - Origin (data analysis software)
Wikipedia - Orthogonal frequency-division multiplexing -- Method of encoding digital data on multiple carrier frequencies
Wikipedia - Orygocera recordata -- Species of moth
Wikipedia - Our World in Data -- Website that presents data and statistics of socially relevant topics
Wikipedia - Outline of databases
Wikipedia - Out-of-band data
Wikipedia - Out-of-order delivery -- Delivery of data packets in a different order from which they were sent
Wikipedia - Overfitting -- Analysis that corresponds too closely to a particular set of data and may fail to fit additional data
Wikipedia - Oxford English Corpus -- Is a text corpus and database of 21st century English
Wikipedia - Packet loss -- Transmitted data not making it to where it's supposed to go
Wikipedia - Packet switching -- Method of grouping data transmitted over a digital network into packets
Wikipedia - Palantir Technologies -- American software and services company, specializing in data analysis
Wikipedia - Palestinian Central Bureau of Statistics -- Palestina's principal government institution in charge of statistics and census data
Wikipedia - Paper data storage -- Use of paper as computer memory
Wikipedia - Parallel coordinates -- Chart displaying multivariate data
Wikipedia - Parallel database
Wikipedia - Partition (database)
Wikipedia - Password cracking -- Recovering passwords from data that has been stored in or transmitted by a computer system
Wikipedia - Payment Card Industry Data Security Standard -- Set of security requirements for credit card processors
Wikipedia - PC Data
Wikipedia - Pearson's chi-squared test -- evaluates how likely it is that any difference between data sets arose by chance
Wikipedia - Peek (data type operation)
Wikipedia - Peer-to-peer file sharing -- Data distribution using P2P networking technology.
Wikipedia - Perl Data Language -- Array programming library for Perl
Wikipedia - Permanent Service for Mean Sea Level -- A repository for tide gauge data used in the measurement of long-term sea level change
Wikipedia - Persistence framework -- Database middleware
Wikipedia - Persistent data structure -- Data structure that always preserves the previous version of itself when it is modified
Wikipedia - Personal data assistant
Wikipedia - Personal Data Protection Act 2012 (Singapore) -- Statute of the Parliament of Singapore
Wikipedia - Personal data -- Biographical information for identifying the identity of the person to whom it relates
Wikipedia - Personalized marketing -- Marketing strategy using data analysis to deliver individualized messages and products
Wikipedia - Peter Fox (professor) -- American data scientist
Wikipedia - Phacelia inundata -- Species of plant
Wikipedia - Phase-shift keying -- Type of data encoding
Wikipedia - Philidris cordata -- Species of ant
Wikipedia - Philosophy Research Index -- Indexing database
Wikipedia - Phone surveillance -- Surveillance on phone conversations, location tracking, and data monitoring of phones
Wikipedia - PhpMyAdmin -- Database administration tool
Wikipedia - Physical data model
Wikipedia - Physiotherapy Evidence Database -- Physical therapy-centered bibliographic database
Wikipedia - Pionen -- Data center in Sweden
Wikipedia - PitchBook Data
Wikipedia - Pivot table -- Table that summarizes data from another table
Wikipedia - Pixel Format -- Output format of data from digital camera
Wikipedia - Placenames Database of Ireland -- Also known as logainm.ie,
Wikipedia - Plain old data structure
Wikipedia - PlainSite -- A website dedicated to legal data transparency advocacy.
Wikipedia - Plain text -- Term for computer data consisting only of unformatted characters of readable material
Wikipedia - Plantago cordata -- species of flowering plant in the plantain family Plantaginaceae
Wikipedia - Plants of the World Online -- Online database of the world's plants
Wikipedia - Platyptilia sedata -- Species of plume moth
Wikipedia - Plesk -- Web hosting and data center automation software
Wikipedia - Pleurothallis quadricaudata -- Species of plant
Wikipedia - Point cloud -- Set of data points in three-dimensional space
Wikipedia - Police National Computer -- UK database of criminal, driving and property records
Wikipedia - Polyrhachis illaudata -- Species of ant
Wikipedia - Portable data terminal -- Electronic device used to enter or retrieve data wirelessly
Wikipedia - Portable Draughts Notation -- Computer data format for recording draughts games
Wikipedia - Postcode Address File -- British geographical database of all known Royal Mail postal addresses and postcodes
Wikipedia - Power distribution unit -- Data center power strip
Wikipedia - Power over Ethernet -- Passing of both power and data over an Ethernet cable
Wikipedia - Power Pivot -- Data analysis software tool for Microsoft Excel
Wikipedia - Power transform -- Family of functions to transform data
Wikipedia - PrecisionHawk -- Commercial drone and data company
Wikipedia - Prediction and Research Moored Array in the Atlantic -- System of moored observation buoys in the tropical Atlantic Ocean which collect meteorological and oceanographic data
Wikipedia - Prestel -- British viewdata system
Wikipedia - Pretty Easy privacy -- Data encryption application
Wikipedia - Pretty Good Privacy -- Computer program for data encryption, primarily in email
Wikipedia - Price of Weed -- User-generated price database for cannabis
Wikipedia - Primitive data type
Wikipedia - Priority queue -- Abstract data type in computer science
Wikipedia - Probabilistic database
Wikipedia - Process control block -- Data structure in the operating system kernel containing the information needed to manage a particular process
Wikipedia - Process mining -- Data mining technique
Wikipedia - Processor (computing) -- Class of electronic units for electronic data processings
Wikipedia - Product data management
Wikipedia - Programmed Data Processor -- Name used for several lines of minicomputers
Wikipedia - Programming with Big Data in R
Wikipedia - Project MUSE -- Online database of journals and ebooks
Wikipedia - PROSPERO -- Online systematic review database
Wikipedia - Protea cordata -- Species of plant
Wikipedia - Protein Data Bank -- International open access database of large biological molecules
Wikipedia - Pseudataenius -- Genus of beetles
Wikipedia - PubChem -- Chemical information database
Wikipedia - Public data network
Wikipedia - Public switched data network
Wikipedia - Punched tape -- Form of data storage
Wikipedia - Pure Data
Wikipedia - Purely functional data structure
Wikipedia - Quad Data Rate SRAM
Wikipedia - Quadtree -- Tree data structure in which each internal node has exactly four children
Wikipedia - QuakeML -- Flexible, extensible and modular XML representation of seismological data
Wikipedia - Qualitative Data Analysis Program -- Program at the University of Pittsburgh
Wikipedia - Qualitative data
Wikipedia - Quantified self -- Movement of people who track themselves with body-related data
Wikipedia - Quantitative data
Wikipedia - Quararibea cordata -- Species of plant
Wikipedia - Query throughput -- Measurement of database system performance
Wikipedia - Question-focused dataset
Wikipedia - Queue (abstract data type) -- Abstract data type
Wikipedia - Queue (data structure)
Wikipedia - Quintana Roo Speleological Survey -- A data repository for explored sites within the state of Quintana Roo
Wikipedia - Quotron -- American financial data technology company
Wikipedia - Rachel Ara -- British conceptual and data artist
Wikipedia - Rachel Binx -- American data visualizer, developer, and designer
Wikipedia - RAC: Repository of Antibiotic resistance Cassettes -- biological database
Wikipedia - Radio Data System -- Communications protocol standard for embedding small amounts of digital information in conventional FM radio broadcasts
Wikipedia - Random-access memory -- Form of computer data storage
Wikipedia - Raster graphics -- Dot matrix data structure
Wikipedia - Rate Your Music -- Online collaborative metadata database of music and film releases
Wikipedia - Rat Genome Database
Wikipedia - Rational data type
Wikipedia - Raw Data
Wikipedia - Raw data
Wikipedia - R/dataisbeautiful -- Subreddit focused on data visualization
Wikipedia - RDG: Red Data Girl
Wikipedia - Reactome -- Database of biological pathways
Wikipedia - ReadyDATA
Wikipedia - RealClearPolitics -- Political news and polling data aggregator
Wikipedia - Realm (database)
Wikipedia - Real-time database
Wikipedia - Real-time data
Wikipedia - Real-time kinematic -- Satellite navigation technique used to enhance the precision of position data
Wikipedia - REBASE (database) -- Database for DNA restriction enzymes
Wikipedia - Rebasing -- Process of modifying data based on one reference to another
Wikipedia - Reconnaissance satellite -- Satellite that covertly collects data for intelligence or military applications
Wikipedia - Record (computer science) -- Information block that is part of a database (data row)
Wikipedia - Recursive data type
Wikipedia - Redis -- Open-source in-memory key-value database
Wikipedia - Reference data
Wikipedia - RefSeq -- Database containing reference sequences of genes, proteins and transcripts
Wikipedia - Region of interest -- Samples within a data set identified for a particular purpose
Wikipedia - Registration Data Access Protocol
Wikipedia - Registry of Toxic Effects of Chemical Substances -- Database of toxicity information
Wikipedia - Relational algebra -- Theory introduced for modeling relational databases
Wikipedia - Relational database management systems
Wikipedia - Relational database management system -- DBMS that is based on the relational model
Wikipedia - Relational databases
Wikipedia - Relational Database
Wikipedia - Relational database -- Digital database whose organization is based on the relational model of data
Wikipedia - Relational data model
Wikipedia - Relational data stream management system
Wikipedia - Relational model -- Database model
Wikipedia - Relation (database)
Wikipedia - Remote Database Access -- Protocol standard for database access
Wikipedia - Repository (version control) -- Metadata storage for software revision control
Wikipedia - Representation term -- Word, or a combination of words, that semantically represent the data type (value domain) of a data element
Wikipedia - Resampling (statistics) -- Family of statistical methods based on sampling of available data
Wikipedia - Research database
Wikipedia - Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction -- System of moored observation buoys in the Indian Ocean that collects meteorological and oceanographic data
Wikipedia - Research Papers in Economics -- Bibliographic database for economics
Wikipedia - ResFinder -- biological database
Wikipedia - Resource Description Framework -- Formal language for describing data models
Wikipedia - Restrictions on geographic data in China -- Restrictions on using GPS in China
Wikipedia - Retransmission (data networks)
Wikipedia - RINEX -- Interchange format for raw satellite navigation system data
Wikipedia - Robert Simmon -- Planet Senior Data Visualization Engineer
Wikipedia - Rollback (data management)
Wikipedia - Rolls-Royce Controls and Data Services -- UK aerospace manufacturer
Wikipedia - ROM cartridge -- Digital data storage device used for the distribution and storage of video games
Wikipedia - Rope (data structure)
Wikipedia - Rotronics Wafadrive -- Magnetic tape data storage format
Wikipedia - Roud Folk Song Index -- Database of English-language folksongs
Wikipedia - Router (computing) -- Device that forwards data packets between computer networks, creating an overlay internetwork
Wikipedia - Row (database)
Wikipedia - Roy David Williams -- Physicist and data scientist
Wikipedia - RSA Data Security
Wikipedia - Rudolphine Tables -- Astronomical data
Wikipedia - Rumman Chowdhury -- Data scientist, AI specialist
Wikipedia - Rundata -- Database of runic inscriptions
Wikipedia - Saccharomyces Genome Database
Wikipedia - Safety data sheet -- System for cataloging information, potential hazards and instructions for safe use associated with a material or product
Wikipedia - Sahasra -- Vedic measure of Count data
Wikipedia - Salvia cuspidata -- Species of plant
Wikipedia - Sample maximum and minimum -- Greatest and least values in a statistical data sample
Wikipedia - Samuel Sinyangwe -- Data scientist and activist
Wikipedia - Sandra Wachter -- Data Ethics, Artificial Intelligence, robotics researcher
Wikipedia - Santanu Bhattacharya (data scientist)
Wikipedia - Sappinia pedata -- Species of Amoebozoa
Wikipedia - Savitzky-Golay filter -- Algorithm to smooth data points
Wikipedia - Scalable Linear Recording -- Magnetic tape data storage format
Wikipedia - Schema-agnostic databases
Wikipedia - ScienceDirect -- Website providing subscription-based access to a database of scientific and medical research
Wikipedia - Scientific Data Systems
Wikipedia - Scikit-multiflow -- Machine learning library for data streams in Python
Wikipedia - Scopula graphidata -- Species of geometer moth in subfamily Sterrhinae
Wikipedia - Scopula luridata -- Species of geometer moth in subfamily Sterrhinae
Wikipedia - Scopula nitidata -- Species of geometer moth in subfamily Sterrhinae
Wikipedia - Scopula sedataria -- Species of geometer moth in subfamily Sterrhinae
Wikipedia - Scopus -- Bibliographic database
Wikipedia - Scotopteryx luridata -- Species of moth
Wikipedia - SCSI -- Set of standards for physically connecting and transferring data between computers and peripheral devices
Wikipedia - SeaDataNet -- An international project of oceanography to enable the scientific community to access historical datasets owned by national data centers
Wikipedia - Seagate Technology -- American data storage company founded in 1978
Wikipedia - Sean McElwee -- American liberal activist and data scientist
Wikipedia - SeaWiFS -- A satellite-borne sensor designed to collect global ocean biological data
Wikipedia - Security Account Manager -- Windows database that stores users' passwords
Wikipedia - Security Assertion Markup Language -- XML-based format and protocol for exchanging authentication and authorization data between parties
Wikipedia - Sed -- Standard UNIX utility for editing streams of data
Wikipedia - Semantic data modeling
Wikipedia - Semantic data model -- Database model
Wikipedia - Semantic Web -- Extension of the Web to facilitate data exchange
Wikipedia - Semi-structured data
Wikipedia - Sense data
Wikipedia - Sense-data
Wikipedia - Sense -- Physiological capacity of organisms that provides data for perception
Wikipedia - Sequence database
Wikipedia - Serial communication -- Type of data transfer
Wikipedia - Serialization -- Conversion process for computer data
Wikipedia - Serrata gradata -- Species of sea snail
Wikipedia - SESAM (database)
Wikipedia - Session ID -- Piece of data that identifies a network session
Wikipedia - Set (abstract data type)
Wikipedia - Set data structure
Wikipedia - Seth Stephens-Davidowitz -- American data scientist and economist
Wikipedia - Sex offender registries in the United States -- Many sex offenders in the US must register themselves on a public US government database
Wikipedia - Shadow library -- Database of content that is a copy of content that is otherwise obscured or not accessible because of paywalls or other accessibility restrictions
Wikipedia - Shailesh Datar -- Indian film, television and stage actor
Wikipedia - Shane's Chess Information Database
Wikipedia - Shannon's source coding theorem -- Establishes the limits to possible data compression
Wikipedia - Shape Data Limited -- UK software company
Wikipedia - Shard (database architecture) -- Horizontal partition of data in a database or search engine
Wikipedia - Sharing economy -- Economic and social systems that enable shared access to goods, services, data and talent
Wikipedia - Sheaf (mathematics) -- Tool to track locally defined data attached to the open sets of a topological space
Wikipedia - Shorea cuspidata -- Species of hardwood tree
Wikipedia - Shot logging -- Process of capturing metadata in a film or video shoot
Wikipedia - Shoutr -- Mobile application that allows users to transfer data between Android-powered devices
Wikipedia - Silent data corruption
Wikipedia - Silvaco Data Systems v. Intel Corp.
Wikipedia - SIMBAD -- Astronomical database
Wikipedia - Simple Authentication and Security Layer -- Framework for authentication and data security in Internet protocols
Wikipedia - Simple Features -- Standard for geographical data
Wikipedia - Simple Modular Architecture Research Tool -- Biological database
Wikipedia - Simple Ocean Data Assimilation -- An oceanic reanalysis data set consisting of gridded state variables for the global ocean
Wikipedia - Simpson's paradox -- A phenomenon in probability and statistics, in which a trend appears in groups of data but disappears when these groups are combined
Wikipedia - Single version of the truth -- Data consistency
Wikipedia - Slot time -- time it takes to send a designated amount of data from one network host to another
Wikipedia - Small data
Wikipedia - Snappy (compression) -- Fast data compression and decompression library written in C++ by Google
Wikipedia - Snowflake Inc. -- Cloud-based data-warehousing company
Wikipedia - Social data revolution
Wikipedia - Social media analytics -- Process of gathering and analyzing data from social media networks
Wikipedia - Social profiling -- Process of constructing a user's profile using his or her social data
Wikipedia - Social Security Death Index -- Database of American death records
Wikipedia - Solaria cuspidata -- Species of plant
Wikipedia - Solid-state drive -- Data storage device that uses no moving parts
Wikipedia - Soname -- Field of data in a shared object file
Wikipedia - Sorbus subcordata -- Species of plant
Wikipedia - Source data
Wikipedia - Spacecraft Tracking and Data Acquisition Network -- 1960s American spacecraft communications system
Wikipedia - Spaghetti plot -- A method of viewing data to visualize possible flows through systems
Wikipedia - Spanner (database)
Wikipedia - Spanner (distributed database technology)
Wikipedia - Sparksee (graph database) -- Graph database system
Wikipedia - Sparse image -- Type of disk image file used on macOS that grows in size as the user adds data to the image
Wikipedia - Spatial database -- Database optimized for storing and querying data that represents objects defined in a geometric space
Wikipedia - Spatiotemporal database -- Database managing time and space information
Wikipedia - Species 2000 -- Federated taxonomic database system for species checklists
Wikipedia - Speeds of sound of the elements (data page)
Wikipedia - Spirit DataCine -- Motion picture film scanner
Wikipedia - SQLBuddy -- Database administration tool
Wikipedia - SQLite -- Serverless relational database management system (RDBMS)
Wikipedia - SQL Server Express -- Relational database management system
Wikipedia - Stack (abstract data type) -- Abstract data type
Wikipedia - Stack (data structure)
Wikipedia - Stack data structure
Wikipedia - Staging (data)
Wikipedia - Standard enthalpy change of formation (data table)
Wikipedia - Statistics -- Study of the collection, analysis, interpretation, and presentation of data
Wikipedia - Stats Perform -- US sports technology and data company
Wikipedia - Storage area network -- Network which provides access to consolidated, block-level data storage
Wikipedia - StorageTek tape formats -- Series of magnetic tape-based data storage formats developed, marketed and sold by StorageTek
Wikipedia - Stratoscale -- A data center software solution provider with hyperconverged infrastructure
Wikipedia - String (computer science) -- Sequence of characters, data type
Wikipedia - Structural equation modeling -- Form of causal modeling that fit networks of constructs to data
Wikipedia - Structured data analysis (statistics)
Wikipedia - Structured data
Wikipedia - Succinct data structure
Wikipedia - Summary Care Record -- Data stored about patients by the National Health Service in England
Wikipedia - Sun Modular Datacenter -- Up to 280 computer servers built into a portable 20-foot container
Wikipedia - Supervisory Control and Data Acquisition
Wikipedia - Surveillance capitalism -- Economic system in which data from one's time online is collected and sold by corporations
Wikipedia - Survey data collection
Wikipedia - Swiss Media Database -- TV program
Wikipedia - Switch (company) -- American data center company
Wikipedia - Symbol table -- Data structure used by a language translator such as a compiler or Interpreter
Wikipedia - Symposium on Principles of Database Systems
Wikipedia - Synchronization (computer science) -- Concept in computer science, referring to processes, or data
Wikipedia - Synchronous Data Link Control
Wikipedia - Synthetic data -- term for generated data
Wikipedia - System Center Data Protection Manager
Wikipedia - System Center Operations Manager -- Data center monitoring system for operating systems
Wikipedia - Tableau Software -- Data visualization software company
Wikipedia - Table (database)
Wikipedia - Tabular Data Stream
Wikipedia - Tadataka Unno -- Japanese jazz pianist
Wikipedia - Tag (metadata)
Wikipedia - Tanah Datar Regency -- Regency in West Sumatra, Indonesia
Wikipedia - Taxonomic database
Wikipedia - Taxus cuspidata -- Species of plant
Wikipedia - Tech Data -- U.S.-based technology company
Wikipedia - Techlog -- Software for wellbore data analysis
Wikipedia - Technical indicator -- Mathematical calculation from market data to create a forecast
Wikipedia - TechTarget -- American company which offers data-driven marketing services
Wikipedia - Telecom data intelligence -- Ability in business intelligence
Wikipedia - Telemetry -- Data and measurements transferred from a remote location to receiving equipment for monitoring
Wikipedia - Teletext character set -- character set for Viewdata
Wikipedia - Temora discaudata -- Species of crustacean
Wikipedia - Template:Infobox song/sandbox -- {{year|{{wikidata|property|P577
Wikipedia - Template:Infobox song -- {{year|{{wikidata|property|P577
Wikipedia - Template:Medical resources/sandbox -- Displays important medical data that is not relevant to a general reader
Wikipedia - Template:Medical resources -- Displays important medical data that is not relevant to a general reader
Wikipedia - Template processor -- Software designed to combine templates with a data model to produce result documents
Wikipedia - Template talk:Database models
Wikipedia - Template talk:Database-software-stub
Wikipedia - Template talk:Databases
Wikipedia - Template talk:Database
Wikipedia - Template talk:Data exchange
Wikipedia - Template talk:Data model
Wikipedia - Template talk:Data structures
Wikipedia - Template talk:Data types
Wikipedia - Template talk:Data warehouses
Wikipedia - Template talk:Data
Wikipedia - Template talk:Paper data storage media
Wikipedia - Template:Wdib/doc -- Wrapper template for Module:WikidataIB
Wikipedia - Temporal database -- Database that stores information relating to past, present and future time
Wikipedia - Teradata
Wikipedia - Terminology-oriented database
Wikipedia - TerminusDB -- free and open-source graph database
Wikipedia - Terraform (software) -- Open-source software for defining and provisioning a datacenter infrastructure using configuration files
Wikipedia - Terrorist Identities Datamart Environment -- U.S. government database
Wikipedia - Terry Johnson (entrepreneur) -- Data storage engineer and entrepreneur (b. 1935, d. 2010)
Wikipedia - Test data generation
Wikipedia - Testing hypotheses suggested by the data
Wikipedia - Texas sharpshooter fallacy -- Fallacy of overemphasizing similarities and ignoring differences in data
Wikipedia - The Action Network -- Sports data and technology company
Wikipedia - The Cancer Imaging Archive (TCIA) -- Database of medical images for cancer research
Wikipedia - The Data Incubator -- American data science education company
Wikipedia - The Green Grid -- Consortium collaborating to improve the [[resource efficiency]] of data centers
Wikipedia - The Himalayan Database -- Elizabeth Hawley's climbing statistics
Wikipedia - Theil-Sen estimator -- Statistical analysis method for fitting a line to data points
Wikipedia - Thematic analysis -- Method for analysing qualitative data
Wikipedia - The Open Definition -- Text definition of the term 'open' in the context of open content and open data
Wikipedia - The Organism: A Holistic Approach to Biology Derived from Pathological Data in Man
Wikipedia - The Political Graveyard -- Online database of American political figures
Wikipedia - Thermal conductivities of the elements (data page)
Wikipedia - Thermal expansion coefficients of the elements (data page)
Wikipedia - Thermodynamic databases for pure substances -- Thermodynamic properties list
Wikipedia - The Terra Data -- 1980 novel by E. C. Tubb
Wikipedia - The Voyage of the Odyssey -- 5-year program conducted by Ocean Alliance which collected the first baseline data set on contaminants in the worldM-bM-^@M-^Ys oceans
Wikipedia - Thrashing (computer science) -- Computer constantly exchanging data between memory and storage leaving little capacity for productive processing
Wikipedia - Tianlian II -- Tracking and Data Relay Satellite System
Wikipedia - Tianlian I -- Tracking and Data Relay Satellite System
Wikipedia - TiDB -- NewSQL relational distributed database
Wikipedia - Tide table -- Tabulated data used for tidal prediction which show the daily times and heights of high water and low water, usually for a particular location
Wikipedia - Tilia cordata -- Species of plant
Wikipedia - Tillandsia denudata -- Species of plant
Wikipedia - Tillandsia pyramidata -- Species of plant
Wikipedia - Time capsule -- Cache of goods or data secured for some time to be opened at a date in the future
Wikipedia - Time/memory/data tradeoff attack
Wikipedia - Time series database -- Unordered set of n-time-series possibly of different lengths
Wikipedia - Time series -- Sequence of data points over time
Wikipedia - Toelgyfaloca circumdata -- Species of false owlet moth
Wikipedia - Tokenization (data security) -- Concept in data security
Wikipedia - Topological Data Analysis
Wikipedia - Topological data analysis -- Analysis of datasets using techniques from topology
Wikipedia - Torah database -- Electronic collection of classic Jewish texts
Wikipedia - Tracking and Data Relay Satellite System -- USA
Wikipedia - Trade Data Monitor -- Publisher of international trade data
Wikipedia - Traf-O-Data -- Early predecessor company to Microsoft
Wikipedia - Training data
Wikipedia - Transaction (database)
Wikipedia - Transaction log -- History of actions executed by a database management system
Wikipedia - Transaction Protocol Data Unit -- Computer network protocol
Wikipedia - Transform coding -- Data compression
Wikipedia - Transmission Control Protocol -- Principal protocol used to stream data across an IP network
Wikipedia - Transmission delay -- Time delay in networking caused by the data rate of a link
Wikipedia - Transparency (data compression) -- Term in data compression and psychoacoustics
Wikipedia - Transport Layer Security -- Cryptographic protocols for securing data in transit
Wikipedia - Transport Research International Documentation -- US transportation research database
Wikipedia - Traveller Personal Data Files -- Science-fiction role-playing game supplement
Wikipedia - Traveller Supplement 11: Library Data (N-Z) -- Science-fiction role-playing game supplement
Wikipedia - Traveller Supplement 8: Library Data (A-M) -- Science-fiction role-playing game supplement
Wikipedia - Travis Oliphant -- American data scientist
Wikipedia - Tree (data structure)
Wikipedia - Tree data structure
Wikipedia - TreeDL -- Computer code language used to create tree data structures
Wikipedia - Treemapping -- Visualisation method for hierchical data
Wikipedia - Tridrepana bicuspidata -- Species of hook-tip moth
Wikipedia - Trie -- A type of search tree data structure
Wikipedia - Trigger (database)
Wikipedia - Trove -- Australian online library database aggregator
Wikipedia - TV by the Numbers -- Web site devoted to US television ratings data
Wikipedia - Twyman's law -- The principle that anomalous data is likely to be inaccurate
Wikipedia - Tymnet -- Defunct international data communications network
Wikipedia - Tz database -- Collaborative compilation of information about the world's time zones
Wikipedia - U-CARE -- biological database
Wikipedia - Uncertain data
Wikipedia - Undamma Bottu Pedata -- 1968 film by K. Viswanath
Wikipedia - UniProt -- Database of protein sequences and functional information
Wikipedia - Unisys DMSII -- Database management system
Wikipedia - United Kingdom National DNA Database -- UK database of DNA records, established in 1995
Wikipedia - Univa Grid Engine -- Batch-queuing system to schedule resources in a data center
Wikipedia - Universal code (data compression)
Wikipedia - Unix domain socket -- Socket for exchanging data between processes executing on the same OS; similar to an Internet socket, but all communication occurs within the same OS
Wikipedia - Unmanned diving -- Diving by mechanisms under the direct or indirect control of remote human operators for observation, data collection or manipulation of the environment using on-board actuator devices
Wikipedia - Unstructured data -- Information without a formal data model
Wikipedia - Upstream (networking) -- Data transfer direction from client to server
Wikipedia - Usage data -- Data about the usage of a website
Wikipedia - USB flash drive -- Data storage device
Wikipedia - Use-define chain -- Data structure that tracks variable use and definitions
Wikipedia - User Datagram Protocol -- Principal protocol used for transmission of datagrams across an IP network
Wikipedia - Utah Data Center -- NSA data storage facility
Wikipedia - Van der Waals constants (data page) -- Table of constants for a list of gases and volatile liquids
Wikipedia - Vapor pressures of the elements (data page)
Wikipedia - Vector Map -- Vector-based collection of geographic information system (GIS) data about Earth
Wikipedia - Vector tiles -- Packets of localized geographic data in vector format
Wikipedia - Vendor-neutral data centre -- Business model
Wikipedia - Versant Object Database
Wikipedia - Very large database
Wikipedia - VFDB -- biological database
Wikipedia - Video Data Bank -- Video art distributor in Chicago, founded 1976
Wikipedia - View (database)
Wikipedia - Viewdata -- Information retrieval service and legacy system
Wikipedia - Violin plot -- Method of plotting numeric data
Wikipedia - Virtual biobank -- Online database providing biobank data
Wikipedia - Virtual LAN -- Network broadcast domain that is isolated at the data link layer
Wikipedia - Visual DataFlex
Wikipedia - Voldemort (distributed data store)
Wikipedia - Volunteered geographic information -- The harnessing of tools to create, assemble, and disseminate geographic data provided voluntarily by individual
Wikipedia - Voyages: The Trans-Atlantic Slave Trade Database -- Database at Emory University
Wikipedia - Vriesea gradata -- Species of plant
Wikipedia - Vulnerability database -- Computer security vulnerabilities
Wikipedia - Warming stripes -- Data visualization graphics of long-term trends of annual temperature anomalies
Wikipedia - Watermark (data file)
Wikipedia - Weather buoy -- Floating instrument package which collects weather and ocean data on the world's oceans
Wikipedia - Web analytics -- measurement, collection, analysis and reporting of web data
Wikipedia - Web archiving -- Process of data preservation done by collecting and saving web content
Wikipedia - Web data integration
Wikipedia - Web feed -- Data format used for providing users with frequently updated content
Wikipedia - Web scraping -- Data scraping used for extracting data from websites
Wikipedia - Web SQL Database
Wikipedia - Web traffic -- Flow of data across the Web, the largest portion of Internet traffic
Wikipedia - Westminster Digital -- British data analysis company
Wikipedia - WibiData
Wikipedia - Wikibase -- Collection of software (applications and libraries) for creating, managing and sharing structured data
Wikipedia - Wikidata -- collaboratively edited and free multilingual knowledge database and graph hosted by the Wikimedia Foundation
Wikipedia - Wikipedia:Database download -- Information on downloading dumps of the wiki database
Wikipedia - Wikipedia:Database reports/User preferences -- Statistics on the user preferences of a wiki
Wikipedia - Wikipedia:Database reports -- Reports made by querying the wiki database
Wikipedia - Wikipedia:Mbabel -- Article draft generating tool based on Wikidata
Wikipedia - Wikipedia:TemplateData/Tutorial -- Wikimedia project gadget tutorial
Wikipedia - Wikipedia:Wikidata -- information page
Wikipedia - Wikipedia:Wikipedia Signpost/2020-08-30/Special report -- Article about Wikidata in The Signpost
Wikipedia - Wikipedia:WikiProject Wikidata -- WikiProject
Wikipedia - WikiScanner -- Defunct database linking Wikipedia edits to institutions
Wikipedia - Windows Internal Database
Wikipedia - WM-data -- Swedish IT consultancy company
Wikipedia - Women Also Know Stuff -- Database of women in political science
Wikipedia - Woodworth Personal Data Sheet
Wikipedia - Word (data type)
Wikipedia - Workplace health surveillance -- Ongoing systematic collection, analysis, and dissemination of exposure and health data on groups of workers
Wikipedia - Workshop on Algorithms and Data Structures
Wikipedia - World Atlas of Language Structures -- Database of the structures of many languages.
Wikipedia - World Database of Happiness -- Archive of research findings on subjective appreciation of life.
Wikipedia - World Ocean Atlas -- A data product of the Ocean Climate Laboratory of the National Oceanographic Data Center (U.S.)
Wikipedia - World Ocean Database Project -- An international collection of ocean profile-plankton data
Wikipedia - World Register of Marine Species -- Web-based database of marine species
Wikipedia - World Spider Catalog -- Online taxonomic database
Wikipedia - Wrapper (data mining)
Wikipedia - WXXM (data model) -- Markup language which enables the management and distribution of weather data
Wikipedia - XidML -- Data standard for the aerospace industry
Wikipedia - XML databases
Wikipedia - XML database
Wikipedia - XML/EDIFACT -- Electronic Data Interchange format
Wikipedia - XMLHttpRequest -- Web API to transfer data between a web browser and a web server
Wikipedia - XML Metadata Interchange
Wikipedia - XML Telemetric and Command Exchange -- XML based data exchange format for spacecraft telemetry and command meta-data
Wikipedia - XML -- Markup language developed by the W3C for encoding of data
Wikipedia - XZ Utils -- Lossless data compression software
Wikipedia - YAGO (database)
Wikipedia - Yago (database)
Wikipedia - Yahoo! data breaches -- Major data breaches which occurred at Yahoo!
Wikipedia - YAML -- Human-readable data serialization format
Wikipedia - Z39.50 -- Application layer communications protocol for searching and retrieving information from a database over a TCP/IP computer network
Wikipedia - Zaloni -- American data management software company
Wikipedia - Zenith Data Systems -- Computer hardware company founded by Zenith Electronics in 1979
Wikipedia - Zhenhua Data leak -- Revelation of Chinese mass surveillance activities
Wikipedia - Zipper (data structure)
Wikipedia - Zope Object Database
Digimon Data Squad (2006) (2006 - 2007) - known in Japan as Digimon Savers ( Dejimon Seibzu), is the fifth anime television series of the Digimon franchise, produced by Toei Animation. The series aired in Japan on Fuji TV from April 2, 2006 to March 25, 2007. An English-language version was produced by Studiopolis in conjunction w...
Red Data Girl (2013 - Current) - A 12-episode anime television series adaptation by P.A.Works aired between April and June 2013. The full anime series became available for streaming on Netflix (US) on August 1, 2015.The story revolves around Izumiko Suzuhara, a 15-year-old girl who was raised at Tamakura Shrine, which is a part of...
Godannar (2003 - 2004) - Shinkon Gattai Gdan'n!!, sold as Marriage of God & Soul Godannar!! in North America) is an anime series created by Yasuchika Nagaoka, Anime International Company and Project Godannar, which consists of IMAGICA Entertainment, Taki Corporation, KlockWorx, NTT Data Contents Planing, Sojitz and Orient...
DokiDoki! PreCure / Glitter Force Doki Doki (2013 - 2014) - literally "Heart-Pounding! Pretty Cure"), is a Japanese anime series produced by Toei Animation as the tenth installment in Izumi Todo's Pretty Cure metaseries.[5][6] The series is produced by Hiroaki Shibata, who produced Digimon Data Squad and written by Ryta Yamaguchi, who wrote the scripts for...
Cloak & Dagger(1984) - Davey Osborn is a kid who's mother died and his dad is too busy, so he begins to see his favorite hero, Jack Flack, who is a video game superspy. A FBI agent is shot and gives Davey a top-secret video game cartridge before he dies leving him in danger from criminals that want the data on the cartri...
Mom(2006) - Kelly is shipped off to Little Hope to gather data for the market research firm she works for, accompanied by Linda, her talkative, scatterbrained camera person.
Day Of The Warrior(1996) - The Legion to Ensure Total Harmony and Law (L.E.T.H.A.L.), is tracking a criminal mastermind known only as The Warrior. While investigating his combination diamond smuggling/art theft/porn production industry, the agents discover that he has cracked their secret database and has stolen the files on...
https://myanimelist.net/anime/14921/RDG__Red_Data_Girl -- Fantasy, Magic
https://myanimelist.net/anime/25567/DRAMAtical_Murder__Data_xx_Transitory --
https://myanimelist.net/anime/35326/Saint_Seiya__Gold_Saints_Data_File -- Action, Fantasy, Shounen
https://myanimelist.net/manga/19082/Appleseed_Databook
https://myanimelist.net/manga/45605/RDG__Red_Data_Girl
Blame! ::: Not Rated | 5min | Animation, Sci-Fi | TV Series (2003- ) Episode Guide 7 episodes Blame! Poster In the post-apocalyptic future, the earth is buried in an enormous mega-structure created by machines. The last hope for mankind is information on a data disc from an engineer called "Cibo." Stars: Asuka Aizawa, Tatsunori Arakawa, Kirsten Potter
Bull ::: TV-14 | 1h | Comedy, Crime, Drama | TV Series (2016 ) Season 5 Returns Monday, March 15 -- Brilliant, brash, and charming, Dr. Bull is the ultimate puppet master as he combines psychology, human intuition, and high-tech data to learn what makes jurors, attorneys, witnesses, and the accused tick.
Spy ::: 30min | Comedy | TV Series (20112012) Tim is in a custody battle with his ex-wife, when he quits his job. He applies for a job as a civil servant doing data entry, but discovers during the job interview that he has been offered a job as a trainee spy for MI5. Creator: Simeon Goulden
The Universe -- 45min | Documentary, History | TV Series (20072015) ::: This educational show explores many scientific questions and topics about the universe (Big Bang, the Sun, the planets, black holes, other galaxies, astrobiology etc.) through latest CGI, data and interviews with scientists. Stars:
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Aoi Bungaku Series -- -- Madhouse -- 12 eps -- Novel -- Drama Historical Psychological Seinen Thriller -- Aoi Bungaku Series Aoi Bungaku Series -- Ningen Shikkaku -- A high school student seeks solace in narcotics to escape the dispiritedness that has come over his life. As he goes through the different stages of his life, it culminates in the questioning of his existence in the world. -- -- Sakura no Mori no Mankai no Shita -- The adaptation of Ango Sakaguchi's literary work deals with the love story of a woman abducted by a mountain bandit. -- -- Kokoro -- While trying to fill the void in his life, a university student in Tokyo encounters a charismatic older man, whom he addresses as "Sensei," who offers him advice on life. However, the man is apprehensive to share his life experience, deepening the student's curiosity. Through this peculiar relationship, the student comes to ponder about the distance between him and his family and the growing desolation in his heart filled with ego and guilt. -- -- Hashire, Melos! -- The story portrays the unbreakable bond between two friends, Melos and Selinuntius, and their faith in protecting each other, all while dangling on a thread which hovers over death and misery. -- -- Kumo no Ito -- Kandata is a coldhearted criminal who, while being punished in Hell for his misdeeds, is noticed by the Buddha Shakyamuni. Despite maintaining a record of committing ruthless atrocities, Kandata had once shown mercy to a spider he encountered in the forest by letting it live. Moved by this, Shakyamuni offers him redemption by dropping a spider's thread into the searing pits of Hell, and it is up to Kandata to seize the opportunity. -- -- Jigokuhen -- Yoshihide is a great painter in the land ruled by Horikawa, a tyrant. Offered a commission to paint the "Buddhist Hell" by the lord, Yoshihide declines, as he cannot paint anything he has not witnessed himself. In an attempt to make Yoshihide understand the magnitude of his request, the lord tortures his subjects to provide inspiration for the artist, descending his domain into utter despair and darkness. -- -- TV - Oct 11, 2009 -- 174,861 7.74
Baldr Force Exe Resolution -- -- Satelight -- 4 eps -- Visual novel -- Action Drama Mecha Sci-Fi -- Baldr Force Exe Resolution Baldr Force Exe Resolution -- Any network runs all over the world, and the development of the information network reaches its acme. In this age, there are two developed worlds; "the real world" and "wired", or the virtual network world. -- -- Soma Toru belongs to a hacking group, Steppen Wolf, which runs around the network world freely. They attack the database of the UN forces as their last work. During this attack, he loses Nonomura Yuya, his friend as well as the team leader. Toru is arrested by the army. In exchange for letting him free, he has to work for an anti-hacker organization, the first squad of the UN Security Force Information Administration Bureau. -- -- Working for them, he is looking for the person who killed his friend, while the other members also have their own reason to fight. -- -- The three-way fights of the terrorist group, the security enterprise, and the army, continue every day. The various events occurred during the fight seem to be independent of each other at the first glance, but they're converging on one event as if they were attracted by something. -- -- Based on the game by GIGA. -- -- (Source: ANN) -- -- Licensor: -- Funimation -- OVA - Nov 10, 2006 -- 15,668 6.46
Digimon Adventure: Bokura no War Game! -- -- Toei Animation -- 1 ep -- Original -- Sci-Fi Adventure Comedy Kids -- Digimon Adventure: Bokura no War Game! Digimon Adventure: Bokura no War Game! -- This movie takes place after the Adventure series ends. It begins when a new Digimon Egg is found on the internet, and manages to penetrate into almost every computer system in Japan. When the egg hatches, it's identified as a new kind of Digimon, a Virus-type. It sustains itself by eating data from various system, and starts wreaking havok in Japan. As it consumes more and more data, it continues to evolve. And Taichi and Koushiro decide it's time to stop it. -- -- They're off, sending Agumon and Tentomon through the internet to fight off this new enemy. But, with the Virus controlling systems like the American military, all too soon, this digital menace may become all too real. Calling in the help of Yamato and Takeru, they hope that they can stop what's already begun, and maybe save this world a second time. -- -- (Source: AniDB) -- -- Licensor: -- Saban Entertainment -- Movie - Mar 4, 2000 -- 64,759 7.77
Digimon Adventure: -- -- Toei Animation -- 66 eps -- Other -- Action Adventure Comedy Fantasy Kids -- Digimon Adventure: Digimon Adventure: -- In the year 2020, technology is everywhere. Every digital device around the world is connected by a singular network where data travels. Unbeknownst to humans, this network has become home to life forms known as "Digimon." -- -- Fifth-grader Taichi Yagami is preparing for summer camp when strange occurrences begin in Tokyo; certain electronic systems have started going haywire. When he discovers that his sister and mother are trapped on an unstoppable train, he rushes to the nearby station. Suddenly, Taichi is transported to another world where he meets a strange creature by the name of Agumon, who somehow already knows his name. Taichi also receives a strange device called a "Digivice," which allows him to communicate with the undigitized world. -- -- Taichi discovers he is in the "Network," and virus-like Digimon are attacking the areas that maintain Tokyo’s electronic systems. It is up to Taichi and his new partner Agumon to stop these cyberattacks before the whole world is threatened by the actions of mischievous Digimon. -- -- 43,352 6.70
Digimon Adventure tri. 3: Kokuhaku -- -- Toei Animation -- 1 ep -- Original -- Action Adventure Comedy Drama -- Digimon Adventure tri. 3: Kokuhaku Digimon Adventure tri. 3: Kokuhaku -- The Chosen Children are in shock after the betrayal of Meicoomon, the digital monster who had recently joined their group alongside her human partner, Meiko Mochizuki. Koushirou Izumi is determined to diagnose the infection that took control of Meicoomon. Meanwhile, Takeru Takaishi realizes that his own partner, Patamon, is starting to exhibit alarming symptoms similar to that of other infected Digimon, like Meicoomon. -- -- Just then, the Chosen Children receive a message from the mysterious entity Homeostasis, who informs them that their world is in danger of total destruction—and the Digital World, the home of the Digimon, is too. Homeostasis plans to enact a "Reboot," which will reset all the data that makes up the Digital World and eradicate the infection. However, the Reboot will also erase the memories of all Digimon, including the Childrens' partners. Can the Chosen Children stop Meicoomon before the Reboot becomes necessary, or is this the end of their time together with their Digimon? -- -- -- Licensor: -- Shout! Factory -- Movie - Sep 24, 2016 -- 62,313 7.69
Digimon Adventure tri. 3: Kokuhaku -- -- Toei Animation -- 1 ep -- Original -- Action Adventure Comedy Drama -- Digimon Adventure tri. 3: Kokuhaku Digimon Adventure tri. 3: Kokuhaku -- The Chosen Children are in shock after the betrayal of Meicoomon, the digital monster who had recently joined their group alongside her human partner, Meiko Mochizuki. Koushirou Izumi is determined to diagnose the infection that took control of Meicoomon. Meanwhile, Takeru Takaishi realizes that his own partner, Patamon, is starting to exhibit alarming symptoms similar to that of other infected Digimon, like Meicoomon. -- -- Just then, the Chosen Children receive a message from the mysterious entity Homeostasis, who informs them that their world is in danger of total destruction—and the Digital World, the home of the Digimon, is too. Homeostasis plans to enact a "Reboot," which will reset all the data that makes up the Digital World and eradicate the infection. However, the Reboot will also erase the memories of all Digimon, including the Childrens' partners. Can the Chosen Children stop Meicoomon before the Reboot becomes necessary, or is this the end of their time together with their Digimon? -- -- Movie - Sep 24, 2016 -- 62,313 7.69
Digimon Savers -- -- Toei Animation -- 48 eps -- Original -- Adventure Comedy Drama Fantasy Shounen -- Digimon Savers Digimon Savers -- Upon meeting for the first time, undefeated street fighter Marcus Damon and renegade Digimon Agumon become friends in the most natural way possible for the knuckleheaded duo—by fighting their hearts out. The self-proclaimed "ultimate team" are recruited by a secret government organization called the Digimon Data Squad, or DATS, who had witnessed an unbelievable human fighting blow for blow with a Digimon. Their primary objective is investigating mysterious problems caused by Digimon entering the real world, and the world is currently in the midst of a crisis with Digimon appearing at an unprecedented rate. -- -- Embarking on various missions with DATS, Marcus and Agumon become colleagues with adolescent genius Thomas H. Norstein and his Digimon partner Gaoman, along with the kind-hearted Yoshino "Yoshi" Fujeda and her Digimon partner Lalamon. As the group continues to investigate the rapid increase of Digimon in their world, a darker truth begins to surface, and it is up to Marcus, Agumon, and their friends to get to the bottom of things. -- -- 73,141 6.95
Digimon Savers -- -- Toei Animation -- 48 eps -- Original -- Adventure Comedy Drama Fantasy Shounen -- Digimon Savers Digimon Savers -- Upon meeting for the first time, undefeated street fighter Marcus Damon and renegade Digimon Agumon become friends in the most natural way possible for the knuckleheaded duo—by fighting their hearts out. The self-proclaimed "ultimate team" are recruited by a secret government organization called the Digimon Data Squad, or DATS, who had witnessed an unbelievable human fighting blow for blow with a Digimon. Their primary objective is investigating mysterious problems caused by Digimon entering the real world, and the world is currently in the midst of a crisis with Digimon appearing at an unprecedented rate. -- -- Embarking on various missions with DATS, Marcus and Agumon become colleagues with adolescent genius Thomas H. Norstein and his Digimon partner Gaoman, along with the kind-hearted Yoshino "Yoshi" Fujeda and her Digimon partner Lalamon. As the group continues to investigate the rapid increase of Digimon in their world, a darker truth begins to surface, and it is up to Marcus, Agumon, and their friends to get to the bottom of things. -- -- -- Licensor: -- Flatiron Film Company -- 73,141 6.95
DRAMAtical Murder: Data_xx_Transitory -- -- NAZ -- 1 ep -- Visual novel -- Sci-Fi Psychological Drama Shounen Ai -- DRAMAtical Murder: Data_xx_Transitory DRAMAtical Murder: Data_xx_Transitory -- Data xx Transitory is the thirteenth and bonus episode of the DRAMAtical Murder animation. It features all of the bad endings from the original game. -- -- (Source: DRAMAtical Murder Wiki) -- -- Licensor: -- Sentai Filmworks -- Special - Dec 24, 2014 -- 26,626 6.05
DRAMAtical Murder: Data_xx_Transitory -- -- NAZ -- 1 ep -- Visual novel -- Sci-Fi Psychological Drama Shounen Ai -- DRAMAtical Murder: Data_xx_Transitory DRAMAtical Murder: Data_xx_Transitory -- Data xx Transitory is the thirteenth and bonus episode of the DRAMAtical Murder animation. It features all of the bad endings from the original game. -- -- (Source: DRAMAtical Murder Wiki) -- Special - Dec 24, 2014 -- 26,626 6.05
Eve no Jikan (Movie) -- -- Studio Rikka -- 1 ep -- Original -- Sci-Fi Slice of Life -- Eve no Jikan (Movie) Eve no Jikan (Movie) -- In the Japan of the future, employing androids for various purposes is nothing out of the ordinary. However, treating androids on the same level as humans is frowned upon, and there is constant paranoia surrounding the possibility of robots defying humans, their masters. Those who appear too trustworthy of their androids are chided and labeled "dori-kei," or "android-holics." -- -- High school student Rikuo Sakisaka notices when his house droid, Sammy, starts behaving curiously—she has been leaving the house without his instruction. When he inspects the movement logs in her database, a cryptic line grabs his attention: "Are you enjoying the time of EVE?" Accompanied by his friend Masakazu Masaki, Rikuo tracks the whereabouts of his houseroid to a cafe called Time of Eve, where it is forbidden for customers to display prejudice against one another. The cafe, Rikuo realizes, is frequented by both man and machine, with no evidence to tell either apart. -- -- Each customer—from the cheerful Akiko, to a robot dangerously close to breaking down—has their own story and challenges to overcome. While Rikuo tries to reveal Sammy's intentions, he begins to question the legitimacy of the fear that drives humans to regard androids as nothing more than mere tools. -- -- -- Licensor: -- NYAV Post, Pied Piper -- Movie - Mar 6, 2010 -- 108,248 8.04
Eve no Jikan (Movie) -- -- Studio Rikka -- 1 ep -- Original -- Sci-Fi Slice of Life -- Eve no Jikan (Movie) Eve no Jikan (Movie) -- In the Japan of the future, employing androids for various purposes is nothing out of the ordinary. However, treating androids on the same level as humans is frowned upon, and there is constant paranoia surrounding the possibility of robots defying humans, their masters. Those who appear too trustworthy of their androids are chided and labeled "dori-kei," or "android-holics." -- -- High school student Rikuo Sakisaka notices when his house droid, Sammy, starts behaving curiously—she has been leaving the house without his instruction. When he inspects the movement logs in her database, a cryptic line grabs his attention: "Are you enjoying the time of EVE?" Accompanied by his friend Masakazu Masaki, Rikuo tracks the whereabouts of his houseroid to a cafe called Time of Eve, where it is forbidden for customers to display prejudice against one another. The cafe, Rikuo realizes, is frequented by both man and machine, with no evidence to tell either apart. -- -- Each customer—from the cheerful Akiko, to a robot dangerously close to breaking down—has their own story and challenges to overcome. While Rikuo tries to reveal Sammy's intentions, he begins to question the legitimacy of the fear that drives humans to regard androids as nothing more than mere tools. -- -- Movie - Mar 6, 2010 -- 108,248 8.04
Fate/Grand Order: Shinsei Entaku Ryouiki Camelot 2 - Paladin; Agateram -- -- Production I.G -- 1 ep -- Game -- Action Supernatural Magic Fantasy -- Fate/Grand Order: Shinsei Entaku Ryouiki Camelot 2 - Paladin; Agateram Fate/Grand Order: Shinsei Entaku Ryouiki Camelot 2 - Paladin; Agateram -- Part two of Fate/Grand Order: Shinsei Entaku Ryouiki Camelot - Wandering; Agateram; an adaptation of the the Sixth Holy Grail War, The Sacred Round Table Realm Camelot Singularity of Fate/Grand Order. -- -- (Source: TYPE-MOON Wiki) -- Movie - May 8, 2021 -- 29,606 N/A -- -- .hack//G.U. Trilogy -- -- CyberConnect2 -- 1 ep -- Game -- Action Fantasy Game Sci-Fi -- .hack//G.U. Trilogy .hack//G.U. Trilogy -- Based on the CyberConnect2 HIT GAME, now will be released in a CG Movie! -- -- The Movie will be placed in the storyline of each .hack//G.U. games trilogy. The story follows Haseo, a player in the online MMORPG called The World:R2 at first depicted as a PKK (Player Killer Killer) known as the "Terror of Death", a former member of the disbanded Twilight Brigade guild. Haseo encounters Azure Kite (believing him to be Tri-Edge and blaming him for what happened to Shino) but is hopelessly outmatched. Azure Kite easily defeats Haseo and Data Drains him, reducing his level from 133 to 1 and leaving him without any items, weapons, or member addresses. He is left with a mystery on his hands as to the nature of the Data Drain and why Azure Kite is in possession of such a skill. -- -- Eventually Haseo gains the "Avatar" of Skeith. Acquiring the ability to call Skeith and wield his abilities, such as Data Drain. With Skeith as his strength, Haseo begins the quest for a way to save Shino. -- -- He is seen seeking out a PK (Player Killer) known as Tri-Edge, whose victims supposedly are unable to return to The World after he PKs them. Haseo's friend, Shino, was attacked six months prior to the events of the game by Tri-Edge, and the player herself, Shino Nanao, was left in a coma. -- -- (Source: AniDB) -- -- Licensor: -- Bandai Entertainment, Funimation -- Movie - Mar 25, 2008 -- 29,585 7.13
Frame Arms Girl -- -- Studio A-CAT, Zexcs -- 12 eps -- Other -- Action Sci-Fi Slice of Life Mecha -- Frame Arms Girl Frame Arms Girl -- The story begins when Ao opens a package that arrives at her doorstep. Inside the package is Gourai, a Frame Arms Girl: a small robot capable of independent movement. Gourai is a newly-developed prototype: a Frame Arms Girl equipped with an "Artificial Self," an advanced AI that gives her a personality. Ao is the only one that has activated her. Gourai begins to gather both battle data and emotions, starting a day-to-day life with Ao, who knows nothing about Frame Arms Girls. -- -- (Source: ANN) -- -- Licensor: -- Sentai Filmworks -- 28,905 6.41
.hack//G.U. Trilogy -- -- CyberConnect2 -- 1 ep -- Game -- Action Fantasy Game Sci-Fi -- .hack//G.U. Trilogy .hack//G.U. Trilogy -- Based on the CyberConnect2 HIT GAME, now will be released in a CG Movie! -- -- The Movie will be placed in the storyline of each .hack//G.U. games trilogy. The story follows Haseo, a player in the online MMORPG called The World:R2 at first depicted as a PKK (Player Killer Killer) known as the "Terror of Death", a former member of the disbanded Twilight Brigade guild. Haseo encounters Azure Kite (believing him to be Tri-Edge and blaming him for what happened to Shino) but is hopelessly outmatched. Azure Kite easily defeats Haseo and Data Drains him, reducing his level from 133 to 1 and leaving him without any items, weapons, or member addresses. He is left with a mystery on his hands as to the nature of the Data Drain and why Azure Kite is in possession of such a skill. -- -- Eventually Haseo gains the "Avatar" of Skeith. Acquiring the ability to call Skeith and wield his abilities, such as Data Drain. With Skeith as his strength, Haseo begins the quest for a way to save Shino. -- -- He is seen seeking out a PK (Player Killer) known as Tri-Edge, whose victims supposedly are unable to return to The World after he PKs them. Haseo's friend, Shino, was attacked six months prior to the events of the game by Tri-Edge, and the player herself, Shino Nanao, was left in a coma. -- -- (Source: AniDB) -- -- Licensor: -- Bandai Entertainment, Funimation -- Movie - Mar 25, 2008 -- 29,585 7.13
Koukaku Kidoutai Arise: Another Mission -- -- Production I.G -- 1 ep -- - -- Action Sci-Fi Police Mecha -- Koukaku Kidoutai Arise: Another Mission Koukaku Kidoutai Arise: Another Mission -- The premise of the story: "Snatch the rebel elements' secret data using the Surface! There is a leak saying that the giant coporation Ishimiya Industry will commit an act of international terrorism, and Motoko Kusanagi and the Armored Riot Police head out to seize the plug data!" -- -- (Source: ANN) -- -- A short animation for promoting Microsoft's Surface tablet in Japan. -- Special - Jun 4, 2013 -- 10,203 6.53
Kyojinzoku no Hanayome -- -- Studio Hokiboshi -- 9 eps -- Manga -- Fantasy Shounen Ai -- Kyojinzoku no Hanayome Kyojinzoku no Hanayome -- Kouichi Mizuki ends his high school basketball career on a high note, bringing his team to victory during their final match at nationals. Now free from club activities, he looks forward to spending more time socializing, maybe even finding room for romance. But fate has slightly different plans for him when a magical circle transports Kouichi to Tildant, the land of giants. -- -- Upon his arrival, Kouichi comes face-to-face with Caius Lao Bistail, the titan king and the culprit behind his summoning. Caius is overjoyed, claiming Kouichi to be his fated bride and asking him to bear his children! It soon becomes evident to Kouichi that his species, let alone gender, is not a problem as Caius pushes him down onto a lavish bed. Will Kouichi ever find romance in this relationship that is bound to end in tears? -- -- -- -- The complete edition with explicit scenes was distributed online via Comic Festa Anime Zone. The censored version was broadcast on Tokyo MX. This database entry reflects censored TV version of the anime. -- 19,067 5.26
Mobile Suit Gundam SEED MSV Astray -- -- Sunrise -- 2 eps -- Original -- Space Mecha Military Sci-Fi -- Mobile Suit Gundam SEED MSV Astray Mobile Suit Gundam SEED MSV Astray -- In the first short, Lowe Gear and the Junk Guild make a stop at an mobile suit parts auction on Earth where Lowe purchases a head taken from a modified BuCUE suit which, when attached to the arm of his Red Frame Astray, acts as a dual beam saber. Lowe tries to decrypt some combat data contained in the head, but is shortly engaged by, and goes into combat with, several ZAFT suits including a CGUE DEEP Arms. In the second short, Blue Frame pilot Gai Murakamo engages and, with the help of his fellow Serpent Tail mercenaries, traps a GINN High Mobility Type. He then faces off with the legendary Edward Harrelson, who pilots a Sword Calamity Gundam and has just finished destroying a fleet of ZAFT ships. -- -- (Source: ANN) -- OVA - Mar 1, 2004 -- 10,744 6.35
Pale Cocoon -- -- Studio Rikka -- 1 ep -- Original -- Drama Sci-Fi -- Pale Cocoon Pale Cocoon -- A future where the continuity of history has broken off, a world of enormous ruins that continues endlessly. Oceans and continents have vanished, existing only within the archives brought up from the remains. Ura works in the Archive Excavation Department, which restores and analyzes the data left behind. One day, he finds a disturbing visual record... -- -- (Source: ANN) -- OVA - Dec 10, 2005 -- 61,233 7.36
Pokemon: Senritsu no Mirage Pokemon -- -- OLM -- 1 ep -- Game -- Adventure Comedy Fantasy Kids -- Pokemon: Senritsu no Mirage Pokemon Pokemon: Senritsu no Mirage Pokemon -- Dr. Yung, an enigmatic Pokémon scientist, has developed a new Mirage system that uses computer data to resurrect extinct Pokémon, like Kabutops and Armaldo. Professor Oak, Ash and his companions show up at the Mirage Mansion at Dr. Yung's invitation, and watch a demonstration of the machine's capabilities. In the middle of a battle between Dr. Yung's Mirage Pokémon and Ash, the machine goes haywire and a Mirage Aerodactyl swoops in and kidnaps Dr. Yung. A man calling himself "The Mirage Master" appears and announces to everyone that the Mirage System can be used to create Pokémon with absolutely no weaknesses. Ash, Misty, and Professor Oak struggle to stop the madman and escape with their lives. -- -- (Source: ANN) -- -- Licensor: -- 4Kids Entertainment, The Pokemon Company International -- ONA - Oct 13, 2006 -- 24,623 6.47
RDG: Red Data Girl -- -- P.A. Works -- 12 eps -- Novel -- Fantasy Magic -- RDG: Red Data Girl RDG: Red Data Girl -- Fifteen-year-old Izumiko Suzuhara just wants to be a normal girl, but that is easier said than done. Raised in a shrine deep in the mountains, she grew up extremely sheltered and painfully shy. She also has the unfortunate tendency to destroy any electronic device simply by touching it. -- -- Despite this, she still wants to try and change her life. To mark her determination to follow through on this transformation, Izumiko begins by cutting her bangs, which shocks both her classmates and protectors. And that's only the start! Her guardian, Yukimasa Sagara, forces his son, Miyuki, to come to the mountain shrine and become Izumiko's lifelong servant and protector. Too bad Izumiko and Miyuki cannot stand each other. They have known each other since they were children, and Miyuki bullied her terribly. He simply does not understand what is so special about Izumiko. His father calls Izumiko a goddess, but that cannot be true…can it? Will Izumiko and Miyuki work past their differences? Is she actually a literal goddess? Find out in RDG: Red Data Girl! -- -- Licensor: -- Funimation -- TV - Apr 4, 2013 -- 97,924 6.58
RDG: Red Data Girl -- -- P.A. Works -- 12 eps -- Novel -- Fantasy Magic -- RDG: Red Data Girl RDG: Red Data Girl -- Fifteen-year-old Izumiko Suzuhara just wants to be a normal girl, but that is easier said than done. Raised in a shrine deep in the mountains, she grew up extremely sheltered and painfully shy. She also has the unfortunate tendency to destroy any electronic device simply by touching it. -- -- Despite this, she still wants to try and change her life. To mark her determination to follow through on this transformation, Izumiko begins by cutting her bangs, which shocks both her classmates and protectors. And that's only the start! Her guardian, Yukimasa Sagara, forces his son, Miyuki, to come to the mountain shrine and become Izumiko's lifelong servant and protector. Too bad Izumiko and Miyuki cannot stand each other. They have known each other since they were children, and Miyuki bullied her terribly. He simply does not understand what is so special about Izumiko. His father calls Izumiko a goddess, but that cannot be true…can it? Will Izumiko and Miyuki work past their differences? Is she actually a literal goddess? Find out in RDG: Red Data Girl! -- TV - Apr 4, 2013 -- 97,924 6.58
RD Sennou Chousashitsu -- -- Production I.G -- 26 eps -- Original -- Action Sci-Fi -- RD Sennou Chousashitsu RD Sennou Chousashitsu -- 2061 AD. Fifty years have passed since mankind developed the Network society. It was anticipated that this new infrastructure would realize a utopia where people connected with each other at the level of consciousness. However, new social problems such as personal data leaks and proliferation of manipulated information began to surface. Nevertheless, people still relied on the Network to exchange information, and proved unable to opt to abandon it. -- -- In due course, a new Network realm with more effective security measures was developed. This was called Meta Real Network, usually abbreviated as "the Metal." -- -- The Metal accommodated personal memory data within protected virtual stand-alone organic cyber enclaves called bubble shells and eventually pervaded the everyday lives of people. -- -- However, people gradually learned to release and explode their instincts within the secure environment of the Metal. The unleashed instincts pushed each individual's consciousness to drown in the sea of information and to be exposed to the pressures of desire. Meanwhile, norms and regulations continued to bind their real world lives. Thus, strange friction between the two worlds began to manifest themselves as aberrations beyond the bounds of the imaginable. -- -- Experts who challenged the deep sea of the Metal to investigate and decipher such aberrations were called cyber divers. -- -- This is a story of a cyber diver, Masamichi Haru, who investigates the incidents that lie between Reality and the Metal. -- -- (Source: Production I.G) -- 23,293 7.12
Robotics;Notes -- -- Production I.G -- 22 eps -- Visual novel -- Sci-Fi Mystery Drama Mecha School -- Robotics;Notes Robotics;Notes -- It has always been the aspiration of the Central Tanegashima High School Robotics Research Club to complete the GunPro1, a fully functioning giant robot. For years, the members of the club have contributed to its progress and it is now Akiho Senomiya's goal to finally make the dream of all the past club members become a reality. However, things are not as easy as they seem as the club lacks the funding for such a huge endeavor. Aside from that, the only other club member, Kaito Yashio, shows no interest in assisting his childhood friend and instead indulges in playing mecha-fighting games on his "PokeCom." -- -- As Kaito is in the middle of wasting his days, he receives an indecipherable message and hears a voice that seems to be drowned out by the noise of static. He searches for the source, only to realize that it came from Airi Yukifune, an AI which only exists within the augmented reality system accessible via the PokeCom. Robotic;Notes follows the story of Kaito as he discovers a peculiar report in Airi's database, one that would have disastrous consequences in the future. -- -- -- Licensor: -- Funimation -- 159,591 7.34
Shingeki no Kyojin: The Final Season Part 2 -- -- - -- ? eps -- Manga -- Action Military Mystery Super Power Drama Fantasy Shounen -- Shingeki no Kyojin: The Final Season Part 2 Shingeki no Kyojin: The Final Season Part 2 -- Second part of Shingeki no Kyojin: The Final Season. -- TV - Jan ??, 2022 -- 161,248 N/A -- -- Robotics;Notes -- -- Production I.G -- 22 eps -- Visual novel -- Sci-Fi Mystery Drama Mecha School -- Robotics;Notes Robotics;Notes -- It has always been the aspiration of the Central Tanegashima High School Robotics Research Club to complete the GunPro1, a fully functioning giant robot. For years, the members of the club have contributed to its progress and it is now Akiho Senomiya's goal to finally make the dream of all the past club members become a reality. However, things are not as easy as they seem as the club lacks the funding for such a huge endeavor. Aside from that, the only other club member, Kaito Yashio, shows no interest in assisting his childhood friend and instead indulges in playing mecha-fighting games on his "PokeCom." -- -- As Kaito is in the middle of wasting his days, he receives an indecipherable message and hears a voice that seems to be drowned out by the noise of static. He searches for the source, only to realize that it came from Airi Yukifune, an AI which only exists within the augmented reality system accessible via the PokeCom. Robotic;Notes follows the story of Kaito as he discovers a peculiar report in Airi's database, one that would have disastrous consequences in the future. -- -- -- Licensor: -- Funimation -- 159,591 7.34
Summer Wars -- -- Madhouse -- 1 ep -- Original -- Sci-Fi Comedy -- Summer Wars Summer Wars -- OZ, a virtual world connected to the internet, has become extremely popular worldwide as a spot for people to engage in a large variety of activities, such as playing sports or shopping, through avatars created and customized by the user. OZ also possesses a near impenetrable security due to its strong encryption, ensuring that any personal data transmitted through the networks will be kept safe in order to protect those who use it. Because of its convenient applications, the majority of society has become highly dependent on the simulated reality, even going as far as entrusting the system with bringing back the unmanned asteroid explorer, Arawashi. -- -- Kenji Koiso is a 17-year-old math genius and part-time OZ moderator who is invited by his crush Natsuki Shinohara on a summer trip. But unbeknownst to him, this adventure requires him to act as her fiancé. Shortly after arriving at Natsuki's family's estate, which is preparing for her great-grandmother's 90th birthday, he receives a strange, coded message on his cell phone from an unknown sender who challenges him to solve it. Kenji is able to crack the code, but little does he know that his math expertise has just put Earth in great danger. -- -- -- Licensor: -- Funimation, GKIDS, Warner Bros. Japan -- Movie - Aug 1, 2009 -- 435,444 8.08
Yamato 2520 -- -- Studio Take Off -- 3 eps -- Original -- Action Military Sci-Fi Adventure -- Yamato 2520 Yamato 2520 -- Set hundreds of years after the original, Yamato 2520 chronicles the adventures of the eighteenth starship to bear the name, and its battle against the Seiren Federation. -- -- On a planet harshly ruled by the Serien Federation, a group of earth teenagers discover the ancient hulk of the Earth Federation Battleship Yamato. By stealing it's data disk the teens are able to use the Serien's own automated ship yards to construct a new Yamato. -- -- (Source: Wikipedia) -- OVA - Nov 21, 1994 -- 1,528 5.79
Yuyushiki -- -- Kinema Citrus -- 12 eps -- 4-koma manga -- Slice of Life Comedy School -- Yuyushiki Yuyushiki -- The story follows the school life of the three girls, Yuzuko, Yukari, and Yui, who join their high school's Data Processing Club. The odd friendship between the three make for wacky humor in even the most mundane of events. -- 90,418 7.38
Yuyushiki -- -- Kinema Citrus -- 12 eps -- 4-koma manga -- Slice of Life Comedy School -- Yuyushiki Yuyushiki -- The story follows the school life of the three girls, Yuzuko, Yukari, and Yui, who join their high school's Data Processing Club. The odd friendship between the three make for wacky humor in even the most mundane of events. -- -- Licensor: -- Sentai Filmworks -- 90,418 7.38
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