Core data integration: Difference between revisions

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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.

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 integrationsintegration]], 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==

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== References ==

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

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* [http://www.datamigrationpro.com/?page=navigator#vendor_list List of Data Integration/Migration Technologies]

[[Category:Data management]]

[[Category:Data integration]]