: A shift toward agile and iterative approaches to data projects, moving away from rigid, traditional lifecycles.
: Inclusion of emerging topics such as AI governance , cloud data platforms, and modern big data analytics.
: Stay informed on the latest milestones via the Official DAMA-DMBOK 3.0 Project Page .
: The content will likely be divided into a set of Data Management Standards and a practical Data Management Reference Guide .
While the 3rd Edition will modernize these topics, the foundational "DAMA Wheel" remains the bedrock of the framework, with at the center. The 11 core knowledge areas continue to be: Data Governance Data Architecture Data Modeling & Design Data Storage & Operations Data Security Data Integration & Interoperability Document & Content Management Reference & Master Data Data Warehousing & Business Intelligence Metadata Management Data Quality Management How to Access DAMA-DMBOK Resources