Data Governance Architecture: A Complete Blueprint for Modern Organizations

This article presents a data governance blueprint for enterprises.

• •Core objectives: consistent definitions, integrity enforcement, security, and analytics
• •Principles: accountability (named owners), transparency (lineage), consistency, stewardship
• •Three frameworks: DAMA-DMBOK (compliance), TOGAF (architecture), Zachman (inventory)
• •Structure: council, data owners per domain, operational stewards
• •Patterns: lakehouse (cloud + warehouse), data mesh (federated), data fabric (metadata)

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