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Topics referred to by the same term
A data source may refer to: Database Datasource, a special name for the connection set up to a database from a server in the Java software platform Computer
Data_source
Description of a data source connection
In computing, a data source name (DSN, sometimes known as a database source name, though "data sources" can comprise other repositories apart from databases)
Data_source_name
Information systems good practice for data normalization
architectures are: Master data management (MDM) Event store and event sourcing (ES) A master data management system typically serves as the source of truth for an
Single_source_of_truth
Unit of information
data Data (computer science) Data acquisition Data analysis Data bank Data cable Data center Data curation Data domain Data element Data farming Data
Data
Raw data that has not been processed for meaningful use to become information
Source data is raw data (sometimes called atomic data) that has not been processed for meaningful use to become Information. Data entered at a till in
Source_data
Single-source data (also single source) is the measurement of TV and/or other mass media's advertising exposure and purchase behavior, over time for the
Single-source_data
Openly accessible data
goals of the open data movement are similar to those of other "open(-source)" movements such as open-source software, open-source hardware, open content
Open_data
Centralized storage of knowledge
intelligence. Data warehouses are central repositories of data integrated from disparate sources. They store current and historical data organized in a
Data_warehouse
Topics referred to by the same term
document in which data collected for a clinical trial is first recorded Source text, in research (especially in the humanities), a source of information
Source
Translator of computer source code
A source-to-source translator, source-to-source compiler (S2S compiler), transcompiler, or transpiler is a type of translator that takes the source code
Source-to-source_compiler
Set of software design patterns in a database
changes made to enterprise data sources. For instance it can be used for incremental update of data loading. CDC occurs often in data warehouse environments
Change_data_capture
Combining data from multiple sources
Data integration is the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. There are a wide
Data_integration
Compact encoding of digital data
In information theory, data compression, source coding, or bit-rate reduction is the process of encoding information using fewer bits than the original
Data_compression
Discrete, discontinuous representation of information
referred to as data in motion and data in flight, is data en route between source and destination, typically on a computer network. Data in transit can
Digital_data
Publishing digital resources with their source files
Open source is the practice of publishing digital resources publicly alongside their source code or source files, enabling use, study, modification, and
Open_source
Procedure in computing
process where data are extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collected
Extract,_transform,_load
Data collected from publicly available sources to be used in an intelligence context
Open-source intelligence (OSINT) is the collection and analysis of data gathered from 'open sources' (overt sources and publicly available information)
Open-source_intelligence
This is a list of GIS data sources (including some geoportals) that provide information sets that can be used in geographic information systems (GIS) and
List_of_GIS_data_sources
Means of connecting one location to another in order to transmit information between them
digital data to be transferred from a data source to a data sink. There are at least three types of basic data-link configurations that can be conceived
Data_link
Extremely large or complex datasets
capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data sources. Big data was
Big_data
Correcting inaccurate computer records
data cleansing in the general case because it requires accessing an external source of data that contains the true value: such "gold standard" data is
Data_cleansing
domain games with public domain source code. This list also includes games in which the engine is open-source but other data (such as art and music) is under
List of open-source video games
List_of_open-source_video_games
Approach to data management
manipulate data without requiring technical details about the data, such as how it is formatted at source, or where it is physically located, and can provide a
Data_virtualization
Facility used to house computer servers
devices, which generate data that is more efficiently processed near its source than transmitted to a centralized data center. Micro data centers (MDCs) are
Data_center
Repository of data stored in a raw format
usually a single store of data including raw copies of source system data, sensor data, social data etc., and transformed data used for tasks such as reporting
Data_lake
Open-source analytics and visualization platform
Grafana is an open-source analytics and visualization web application. It connects to time series databases and other data sources, allowing users to
Grafana
Process of securing digital information
backups secure all data from a production system, such as a server, database, or other connected data source. It is impossible to lose all data in a full backup
Data_security
Process of linking data objects in distinct models
variety of data integration tasks, including: Data transformation or data mediation between a data source and a destination Identification of data relationships
Data_mapping
Disciplines of managing data as a resource
intelligence. Data warehouses are central repositories of data integrated from disparate sources. They store current and historical data organized in a
Data_management
Software with publicly available source code
Open-source software (OSS) is computer software whose source code is publicly available, allowing users to use, study, modify, and distribute it — in
Open-source_software
of ASD S1000D IETDs, the Common Source Data Base is necessary. Starting with the smallest addressable unit, the DataModules under the use of different
Common_Source_Data_Base
Transfer of data over a communication channel
Data communication is the transfer of data over a point-to-point or point-to-multipoint communication channel. Data communication comprises data transmission
Data_communication
Field of study to extract knowledge from data
List of data science software List of open-source data science software Data science notebook software Donoho, David (2017). "50 Years of Data Science"
Data_science
Intermediate storage area used in data processing during the ETL process
used for data processing during the extract, transform and load (ETL) process. The data staging area sits between the data source(s) and the data target(s)
Staging_(data)
Average uncertainty in variable's states
a data source, and proved in his source coding theorem that the entropy represents an absolute mathematical limit on how well data from the source can
Entropy_(information_theory)
Offset that corresponds to the first byte beyond the length of a computer file
condition in a computer operating system where no more data can be read from a data source. The data source is usually called a file or stream. In the C standard
End-of-file
State of qualitative or quantitative pieces of information
Apart from these definitions, as the number of data sources increases, the question of internal data consistency becomes significant, regardless of fitness
Data_quality
ADO.NET component that bridges a data source and a DataSet
data adapter (DataAdapter) is an object that acts as a bridge between a data source and a disconnected in-memory data representation such as a DataSet
DataAdapter
textual sources, a variety of unstructured data. All of the above are varieties of data analysis. Data analysis is a process for obtaining raw data, and
Data_analysis
Process in data storage
Data extraction is the act or process of retrieving data out of (usually unstructured or poorly structured) data sources for further data processing or
Data_extraction
Establishes the limits to possible data compression
Shannon's source coding theorem (or noiseless coding theorem) establishes the statistical limits to possible data compression for data whose source is an
Shannon's source coding theorem
Shannon's_source_coding_theorem
Restructuring data into a desired format
potential uses. Data wrangling typically follows a set of general steps which begin with extracting the data in a raw form from the data source, "munging"
Data_wrangling
Process of merging big data
Data blending is a process whereby big data from multiple sources are merged into a single data warehouse or data set. Data blending allows business analysts
Data_blending
Integration of multiple data sources to provide better information
Data fusion is the process of integrating multiple data sources to produce more consistent, accurate, and useful information than that provided by any
Data_fusion
Data analysis technique
Data profiling is the process of examining the data available from an existing information source (e.g. a database or a file) and collecting statistics
Data_profiling
Manipulating raw data into a form that can be readily analysed
Data preparation is the act of manipulating (or pre-processing) raw data (which may come from disparate data sources) into a form that can be readily and
Data_preparation
Freely licensed software with open code
Free and open-source software (FOSS) is software available under a license that gives users the right to use, share, modify, and distribute the software
Free_and_open-source_software
Protocol for communicating between LLMs and applications
large language models (LLMs) integrate and share data with external tools, systems, and data sources. MCP provides a standardized interface for reading
Model_Context_Protocol
Data processing technique to eliminate duplicate copies of repeating data
data is created, is referred to as "source deduplication". When it occurs near where the data is stored, it is called "target deduplication". Source deduplication
Data_deduplication
Human-readable instructions for a computer
In computing, source code, or simply code or source, is human readable plain text that can eventually result in controlling the behavior of a computer[citation
Source_code
to Source Data Verification (SDV), such as in clinical trials. Data verification helps to determine whether data was accurately translated when data is
Data_verification
Structured data and method for its publication
In computing, linked data is structured data which is associated with ("linked" to) other data. Interlinking makes the data more useful through semantic
Linked_data
Capability that enables an organization to ensure high data quality
data."[unreliable source?] There have been several international groups established by research organizations that aim to grant access to their data.
Data_governance
Data analytics transformation tool
Data build tool (dbt) is an open-source command line tool that helps analysts and engineers transform data in their warehouse more effectively. It started
Data_build_tool
Software testing technique
simply a "driver" (or delivery mechanism) for the data that is held in the data source. Control table – Data table used to control program flow Keyword-driven
Data-driven_testing
Data management term for storage system
A system of record (SOR) or source system of record (SSoR) is a data management term for an information storage system (commonly implemented on a computer
System_of_record
Tracking system for music and music video sales
source of sales information for the Billboard music charts. The company operates the analytics platform Music Connect, Music 360 and Broadcast Data Systems
Luminate_(company)
Country ranking by public sector corruption
selecting data sources, rescaling them to a uniform 0–100 scale, aggregating the results, and estimating uncertainty. The goal of the data selection is
Corruption_Perceptions_Index
Data integration approach
Ontology-based data integration involves the use of one or more ontologies to effectively combine data or information from multiple heterogeneous sources. It is
Ontology-based data integration
Ontology-based_data_integration
done with two data/information sources with different languages, as in XML data binding and UI data binding. In UI data binding, data and information
Data_binding
Open-source mobile data collection software
ODK is an open-source mobile data collection platform that supports online and offline collection of structured data on people, places, and things and
ODK_(software)
Form of monetization
Data monetization, a form of monetization, may refer to the act of generating measurable economic benefits from available data sources (analytics). Less
Data_monetization
Horizontal partition of data in a database or search engine
only one shard. In such cases, each shard acts as the single source for its subset of data. Horizontal partitioning is a database design principle whereby
Shard_(database_architecture)
San Francisco-based software company
Lake, an open-source project that adds ACID transaction support to data lakes. Databricks' platform incorporates the company's core data and AI offerings
Databricks
Component Object Model APIs for accessing data sources
ActiveX Data Objects (ADO) comprises a set of Component Object Model (COM) objects for accessing data sources. A part of MDAC (Microsoft Data Access Components)
ActiveX_Data_Objects
A datasource or DataSource is a name given to the connection set up to a database from a server. The name is commonly used when creating a query to the
Datasource
Journalistic process
process. Many data-driven stories begin with newly available resources such as open source software, open access publishing and open data, while others
Data_journalism
A greedy source is a traffic generator in a communication network that generates data at the maximum rate possible and at the earliest opportunity possible
Greedy_source
Method of data transfer
Multi-source, as it applies to downloading data, or files from the internet, is a method of decreasing download time for large files by getting data from
Multi-source
Extension of the Web to facilitate data exchange
advantages such as reasoning over data and operating with heterogeneous data sources. These standards promote common data formats and exchange protocols
Semantic_Web
Data collector and vendor to third parties
ethnicity, political beliefs, or geolocation data) or data about people, mostly from public records but sometimes sourced privately, and selling or licensing such
Data_broker
Process of aggregating and managing data from different websites into a single workflow
workflow. This process includes data access, transformation, mapping, quality assurance and fusion of data. Data that is sourced and structured from websites
Web_data_integration
Abstract model
generally data modeling or, more specifically, database design. Data models are typically specified by a data expert, data specialist, data scientist, data librarian
Data_model
Type of information sanitization
reverse process in which anonymous data is cross-referenced with other data sources to re-identify the anonymous data source. Generalization and perturbation
Data_anonymization
Data management process
Data exchange is the process of moving data from one information system to another. It often involves transforming data that is native to the source system
Data_exchange
Converting data between different formats
complex based on the required changes to the data between the source (initial) data and the target (final) data. Data transformation is typically performed via
Data transformation (computing)
Data_transformation_(computing)
reference data sources, Similarweb and Semrush, do not account for app traffic, which now constitutes the largest share of overall internet traffic. Data is
List_of_most-visited_websites
Practice of completely wiping data from a storage medium
machine-learning based methods, and k-source anonymity. This erasure is necessary as an increasing amount of data is moving to online storage, which poses
Data_sanitization
Recording of information in a storage medium
Data storage is the recording (storing) of information (data) in a storage medium. Handwriting, phonographic recording, magnetic tape, and optical discs
Data_storage
Data combined from several measurements
assess current measures for strategic planning. Aggregate data collected from various sources are used in different areas of studies such as comparative
Aggregate_data
API for Java
update data in a database, and is oriented toward relational databases. A JDBC-to-ODBC bridge enables connections to any ODBC-accessible data source in the
Java_Database_Connectivity
Process of analyzing large data sets
A common source for data is a data mart or data warehouse. Pre-processing is essential to analyze the multivariate data sets before data mining. The
Data_mining
Analytical database software
column-oriented, open-source, distributed data store written in Java. Druid is designed to quickly ingest massive quantities of event data, and provide low-latency
Apache_Druid
Graphical representation of the "flow" of data through an information system
the endpoints (source and / or destination) must exist in a process. The refined representation of a process can be done in another data-flow diagram,
Data-flow_diagram
Process of discovering semantics of data elements
discover the semantics of a data element in data sets. This process usually ends with a set of mappings between the data source elements and a centralized
Metadata_discovery
Origins and events of data
point of interest. Data lineage provides sources of the data and intermediate data flow hops from the reference point with backward data lineage, leading
Data_lineage
Unauthorized release of information online
information and data can be, and have been, "leaked" to the Internet, the most common being personal information, computer software and source code, and artistic
Internet_leak
Consistency among data between source and target data stores
Data synchronization is the process of establishing consistency between source and target data stores, and the continuous harmonization of the data over
Data_synchronization
Database modeling method
trace where all the data in the database came from. This means that every row in a data vault must be accompanied by record source and load date attributes
Data_vault_modeling
Rankings of higher education providers in the United Kingdom
services – data source: Higher Education Statistics Agency (HESA); "Degree completion" (1.0) – a measure of the completion rate of students (data source: HESA);
Rankings of universities in the United Kingdom
Rankings_of_universities_in_the_United_Kingdom
Collection and manipulation of items of data to produce meaningful information
Data processing is the collection and manipulation of digital data to produce meaningful information. Data processing is a form of information processing
Data_processing
Accumulation of data corruption on a storage device over time
address many of these data corruption issues. The Btrfs file system also includes data protection and recovery mechanisms,[better source needed] as does ReFS
Data_degradation
2010s social media data misuse
Archived from the original on July 31, 2020. Retrieved May 8, 2020. Data source: Google Trends Archived July 9, 2021, at the Wayback Machine) Guynn,
Facebook–Cambridge Analytica data scandal
Facebook–Cambridge_Analytica_data_scandal
Canadian government intitiave managing geospatial data of Canada
basis: Source, regional and—where practical—national data all share the same geometry. GeoBase provides national data coverages. Source data is collected
GeoBase_(geospatial_data)
7,052,314. Data source (as of June 2023): Taken from latest census data for the Republic of Ireland and Northern Ireland. Population data for counties
List of Irish counties by population
List_of_Irish_counties_by_population
Hardware whose design source files are made available
drawings, schematics, bills of material, PCB layout data, HDL source code and integrated circuit layout data), in addition to the software that drives the hardware
Open-source_hardware
Classification method for personality psychology assessment data sources
Block, to provide a broad classification of data source for personality psychology assessment. Each data source has its advantage and disadvantage. Research
LOTS_(personality_psychology)
Data protection process
validations. The data must undergo enough changes so that it is not obvious that the masked data is from a source of production data. For example, it
Data_masking
Standardised data model for information exchange
data sources. Common data models aim to standardise logical infrastructure so that related applications can "operate on and share the same data", and
Common_data_model
retrieve data from an OPC compliant data source, such as a historian, using OPC HDA. Similar to the OPC Data Access specification, OPC Historical Data Access
OPC_Historical_Data_Access
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