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Data architecture should be defined in the planning phase of the design of a new data processing and storage system. The major types and sources of data necessary to support an enterprise should be identified in a manner that is complete, consistent, and understandable. The primary requirement at this stage is to define all of the relevant data entities, not to specify [[computer hardware]] items. A data entity is any real or abstracted thing about which an organization or individual wishes to store data.
==A Data Architecture Framework==
A Data Architecture Framework is a component of n Data Management Framework (DMF) is a system of thinking, terminology, documentation, resources and insights which allows users to view data related concepts and information in their own context, and in the broader context of the framework, thereby enabling them to integrate their conversations and work. There are a number of DMFs available. A Framework which maps, Data Management against the Business, Enterprise Architecture, Environments, Time, Cost, Effort and has an order of implementation that includes the delivery of Enterprise Information Management can be seen in the image to the right [[File:MDDMF - The Multi Dimensional (V4.0) Data Management Framework (A3 Electronic) 20181020.pdf|thumb|Integrated Data and Information Management Framework. mapping to Business, IT and Enterprise Architecture, Useful for the C-Suite, Business Management, Data Governance, Stewards, Security, Quality, in total 22 Data Disciplines, including A.I.]]
== Physical data architecture ==
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