Core data integration: Difference between revisions

Revision as of 16:41, 7 November 2007

Latest revision as of 21:10, 13 August 2020

(21 intermediate revisions by 15 users not shown)

Line 1:

{{Citations missing|date=December 2007}}

'''Core data integration''' is the use of [[data integration]] technology for a significant, centrally planned and managed IT initiative within a company. Examples of core data integration initiatives could include:

* ETL ([[Extract, transform, load]]) implementations

* EAI ([[Enterprise Application Integration]]) implementations

* SOA ([[Service-Oriented Architecture]]) implementations

* ESB ([[Enterprise Service Bus]]) implementations

Core data integrations are often designed to be enterprise-wide integration solutions. They may be designed to provide a data abstraction layer, which in turn will be used by individual core data integration implementations, such as ETL servers or applications integrated through EAI.

A core data integration differs from an edge data integration, which is not centrally planned and which will probably be completed with a smaller budget and a tighter deadline. Most edge integrations involve hand-coded scripts. Some may take the form of enterprise mashups, [[Rich Internet applications]], or other browser-based models that take advantage of [[Web 2.0]] technologies to combine data in a Web browser.

Core data integrations are often designed with to be enterprise-wide integration solutions. Because they do not address all integration needs, IT engineers and even business users create edge integrations, using technology that may be incompatible with that used at the core.

== See Also ==

Because it is difficult to promptly roll out a centrally managed data integration solution that anticipates and meets all data integration requirements across an organization, IT engineers and even business users create [[edge data integration]], using technology that may be incompatible with that used at the core. In contrast to a core data integration, an edge data integration is not centrally planned and is generally completed with a smaller budget and a tighter deadline.

== See Also also==

* [[data integration]]

* [[edge data integration]]

== References ==

* https://web.archive.org/web/20080310212808/http://searchsoa.techtarget.com/tip/0,289483,sid26_gci1171085,00.html

*

[[Category:Data management]]

* http://datadoghouse.typepad.com/data_doghouse/2007/11/etl-is-not-perv.html

[[Category:Data integration]]