Data architecture [describes] “the way data will be processed and stored; how the data flows and is used by the project teams, including the data models (conceptual, logical, physical, and dimensional)” (Sybase, via Dataversity).

“The data architecture defines the data along with the schemas, integration, transformations, storage and workflow required to enable the analytical requirements of the information architecture. A solid data architecture is a blueprint that helps align your company’s data with its business strategies. The data architecture guides how the data is collected, integrated, enhanced, stored, and delivered to business people who use it to do their jobs. It helps make data available, accurate and complete so it can be used for business decision-making” (Athena IT Solutions).

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