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The process of discovering, analyzing, and documenting data requirements in precise structural forms.
Metadata is "data about data." This framework establishes business glossaries, technical data dictionaries, and lineage tracking tools to clarify where data originates and what it means. 11. Data Quality
Unlike many technical guides, it covers the business and governance aspects of data, not just the technology. The Bad:
Are you primarily looking for , or templates to implement data governance at your company? dama-dmbok2 pdf github
The DAMA-DMBOK2 is often called the "Bible of data management". As a result, many professionals use GitHub to store their personal study notes. Repositories like those found under usernames such as shohei1029 or soonraah contain Markdown files ( .md ) that summarize each chapter. For example, users have created detailed summaries of Chapter 12 (Metadata Management), breaking down concepts like Business, Technical, and Operational metadata in a way that is easier to read than the full PDF.
: If you enroll for the CDMP exam and purchase the Revised Edition, you may be eligible for a free PDF copy of the standard DMBOK2. DAMA International Core Knowledge Areas (The DAMA Wheel)
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: The physical and digital versions are sold via Technics Publications and Amazon.
As of April 2024, there's an official revised edition. Enhancements include standardized terminology, corrected diagrams and errors, and an expanded Data Quality chapter. Key details include:
Navigating the complex landscape of enterprise data management requires a definitive source of truth, and for data professionals worldwide, that source is the DAMA Guide to the Data Management Body of Knowledge , commonly known as DAMA-DMBOK2 . Whether you are setting up a robust data governance framework, optimizing data architecture, or preparing for the Certified Data Management Professional (CDMP) exam, having reliable access to this material is paramount. Data Quality Unlike many technical guides, it covers
Every Knowledge Area chapter in the DMBOK2 follows a structured sub-section format known as Environmental Factors. Focus on understanding these categories for each topic: Who are the stakeholders, drivers, and consumers? Process: What are the inputs, activities, and deliverables? Technology: What types of tools support this function? Step 3: Map Concepts to Your Daily Work
If you'd like to know more about any of these knowledge areas or have other questions, please ask away!
Developers often create code (Python, R, D3.js) to visualize the "DAMA Wheel" (the diagram showing the 11 knowledge areas surrounding Data Governance).
