Data architecture: Difference between revisions

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== Overview ==
A data architecture should{{POV statement|date=March 2013}} set data standards for all its data systems as a vision or a model of the eventual interactions between those data systems. [[Data integration]], for example, should be dependent upon data architecture standards since data integration requires data interactions between two or more data systems. A data architecture, in part, describes the [[data structure]]s used by a business and its computer [[applications software]]. Data architectures address data in storage, data in use and data in motion; descriptions of data stores, data groups and data items; and [[data mapping|mappings]] of those data artifacts to data qualities, applications, locations etc.
 
Essential to realizing the target state, Data Architecture describes how data is processed, stored, and utilized in an [[information system]]. It provides criteria for [[data processing]] operations so as to make it possible to design [[data flow]]s and also control the flow of data in the system.