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2. Data architecture - Wikipedia

   en.wikipedia.org/wiki/Data_architecture

   A data architecture aims to 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.

3. Data governance - Wikipedia

   en.wikipedia.org/wiki/Data_governance

   A data steward is a role that ensures that data governance processes are followed and that guidelines are enforced, and recommends improvements to data governance processes. Data governance involves the coordination of people, processes, and information technology necessary to ensure consistent and proper management of an organization's data ...

4. The Open Group Architecture Framework - Wikipedia

   en.wikipedia.org/wiki/The_Open_Group...

   Structure of the TOGAF Architecture Development Method (ADM). [1]The Open Group Architecture Framework (TOGAF) is the most used framework for enterprise architecture as of 2020 [2] that provides an approach for designing, planning, implementing, and governing an enterprise information technology architecture. [3]

5. Industry standard data model - Wikipedia

   en.wikipedia.org/wiki/Industry_standard_data_model

   An industry standard data model, or simply standard data model, is a data model that is widely used in a particular industry. The use of standard data models makes the exchange of information easier and faster because it allows heterogeneous organizations to share an agreed vocabulary, semantics, format, and quality standard for data.

6. Canonical model - Wikipedia

   en.wikipedia.org/wiki/Canonical_model

   A canonical model is a design pattern used to communicate between different data formats. Essentially: create a data model which is a superset of all the others ("canonical"), and create a "translator" module or layer to/from which all existing modules exchange data with other modules. The canonical model acts as a middleman.

7. Data quality - Wikipedia

   en.wikipedia.org/wiki/Data_quality

   Data Quality (DQ) is a niche area required for the integrity of the data management by covering gaps of data issues. This is one of the key functions that aid data governance by monitoring data to find exceptions undiscovered by current data management operations.