1. Data Governance: The core, centralizing function.
  2. Data Architecture: The blueprint for data structures.
  3. Data Modeling and Design: Logical and physical design.
  4. Data Storage and Operations: Database management (DBA focus).
  5. Data Security: Access control, privacy, and compliance.
  6. Data Integration and Interoperability: ETL, APIs, and data movement.
  7. Document and Content Management: Unstructured data management.
  8. Reference and Master Data: Golden records and consistency.
  9. Data Warehousing and Business Intelligence: Analytics and reporting.
  10. Metadata Management: Data about data (cataloging and lineage).
  11. Data Quality: Accuracy, completeness, and cleaning.

"I'm building a Rosetta Stone," she said. "The DMBOK says that without metadata, data is just noise. I’m going to force the system to recognize that 'Cust_ID' in the billing database is the same object as 'Client_Key' in the shipping database."

"Magic," Marcus whispered, looking at the clean dashboard.

Data Warehousing & Business Intelligence: Providing integrated data for reporting and analysis. Metadata Management: Managing "data about data." Data Quality: Ensuring data is fit for its intended use. Why Data Professionals Look for the DMBOK PDF

Unlocking Data Excellence: A Guide to the DAMA-DMBOK (Data Management Body of Knowledge)

What is the DAMA-DMBOK?

The DAMA-DMBOK (Data Management Association – Data Management Body of Knowledge) is the definitive reference guide for data management professionals worldwide. Often called the "bible of data management," it provides a framework of best practices, principles, and terminology to help organizations treat data as a valuable asset.