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Data Source (view source)

Revision as of 03:25, 23 December 2024

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A [[Data Source]] is a [[source]] of a [[data set]].
A [[Data Source]] is a [[system component]] that provides [[data set]]s (to support [[data acquisition]] and [[information retrieval]]).
* <B>AKA:</B> [[Data Source|Data Feed]].
* <B>Context:</B>
* <B>Context</U>:</B>
** It can generate [[Data Content]] through [[data generation mechanism]]s.
** It can range from being a [[Batch Data Source]] to being a [[Real-Time Data Source]] (such as a [[data stream]]).
** It can provide [[Data Access]] via [[access interface]]s.
* <B>Example(s):</B>
** It can maintain [[Data Format]] through [[format specification]]s.
** the [[New York Stock Exchange Data Feed]], is a [[Data Stream]].
** It can ensure [[Data Quality]] via [[quality control]]s.
** the [[UCI ML Repository]].
** It can support [[Data Availability]] through [[delivery mechanism]]s.
** a [[Product Data Feed]].
** It can often include [[Data Schema]] with [[structural element]]s.
** …
** It can often enable [[Data Discovery]] through [[metadata service]]s.
* <B>Counter-Example(s):</B>
** It can often support [[Data Integration]] via [[integration protocol]]s.
** a [[Computation Resource]].
** It can often maintain [[Data Freshness]] through [[update mechanism]]s.
* <B>See:</B> [[Data Collection Task]], [[Real-Time Computing]], [[Web Feed]], [[RSS Feed]], [[Product Feed]], [[E-Commerce]], [[Internet Marketing]].
** ...
** It can range from being a [[Batch Data Source]] to being a [[Real-Time Data Source]], depending on its [[delivery mode]].
** It can range from being a [[Static Source]] to being a [[Dynamic Source]], depending on its [[update frequency]].
** It can range from being a [[Simple Source]] to being a [[Complex Source]], depending on its [[data structure]].
** It can range from being a [[Raw Source]] to being a [[Processed Source]], depending on its [[processing level]].
** ...
** It can integrate with [[Data Consumer]] for [[data consumption]].
** It can connect to [[Data Pipeline]] for [[data flow]].
** It can support [[Data Repository]] for [[data storage]].
** ...
* <B>Examples:</B>
** [[Market Data Source]]s, such as:
*** [[New York Stock Exchange Data Feed]] for [[financial trading]].
*** [[Market Price Feed]] for [[price discovery]].
** [[Research Data Source]]s, such as:
*** [[UCI ML Repository]] for [[machine learning]].
*** [[Scientific Database]] for [[research data]].
** [[Commercial Data Source]]s, such as:
*** [[Product Data Feed]] for [[e-commerce]].
*** [[Marketing Feed]] for [[internet marketing]].
** [[Stream Source]]s, such as:
*** [[Real-Time Data Stream]] for [[live monitoring]].
*** [[Event Stream]] for [[event capture]].
** [[Web Source]]s, such as:
*** [[Web Feed]] for [[content syndication]].
*** [[RSS Feed]] for [[information distribution]].
** ...
* <B>Counter-Examples:</B>
** [[Computation Resource]], which processes rather than provides [[data]].
** [[Data Sink]], which consumes rather than provides [[data]].
** [[Data Cache]], which temporarily stores rather than originates [[data]].
** [[Data Proxy]], which forwards rather than generates [[data]].
* <B>See:</B> [[Data Provider]], [[Data Origin]], [[Data System]], [[Data Collection Task]], [[Real-Time Computing]], [[E-Commerce]], [[Internet Marketing]].


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[[Category:Concept]]
[[Category:Concept]]
[[Category:Data Systems]]
[[Category:Quality Silver]]
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