[Review] DAMA-DMBOK: Data Management Body of Knowledge: 2nd Edition (DAMA International) Summarized.

[Review] DAMA-DMBOK: Data Management Body of Knowledge: 2nd Edition (DAMA International) Summarized.
9Natree
[Review] DAMA-DMBOK: Data Management Body of Knowledge: 2nd Edition (DAMA International) Summarized.

Sep 30 2026 | 00:10:20

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Episode • September 30, 2026 • 00:10:20

Show Notes

DAMA-DMBOK: Data Management Body of Knowledge: 2nd Edition (DAMA International)

- Amazon USA Store: https://www.amazon.com/dp/1634622340?tag=9natree-20
- Amazon Worldwide Store: https://global.buys.trade/DAMA-DMBOK%3A-Data-Management-Body-of-Knowledge%3A-2nd-Edition-DAMA-International.html

- eBay: https://www.ebay.com/sch/i.html?_nkw=DAMA+DMBOK+Data+Management+Body+of+Knowledge+2nd+Edition+DAMA+International+&mkcid=1&mkrid=711-53200-19255-0&siteid=0&campid=5339060787&customid=9natree&toolid=10001&mkevt=1
- Read more: https://english.9natree.com/read/1634622340/

#Datagovernance #Metadatamanagement #Dataqualitymanagement #Datalifecyclemanagement #Referenceandmasterdata #DAMADMBOK

DAMA-DMBOK: Data Management Body of Knowledge, 2nd Edition is a reference guide published by DAMA International for the discipline of enterprise data management. Rather than prescribing one vendor platform, implementation method, or organizational design, it organizes widely accepted professional knowledge into a common framework. The book explains why data must be managed as an organizational asset and connects that premise to practical disciplines such as governance, architecture, modeling, security, integration, metadata, master data, data quality, and analytics support. Its structure is broad by design: readers can use it to understand how specialized functions relate to one another, which roles and deliverables they require, and how they contribute to business objectives and risk control. The second edition expands the original guide and reflects developments in areas including data ethics, big data, data science, organizational change, and maturity assessment. It is primarily a professional body of knowledge, useful as a shared reference and as a foundation for structured data-management education and certification preparation.

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