Mastering Open Source Data Governance
summary
Defines governance as planning plus execution of policies and gives a concrete life‑cycle checklist: plan→design→build/acquire→use(store/share/process)→monitor→dispose. Lays out measurable data quality dimensions — availability integrity confidentiality and intrinsic contextual secure/access — and operational steps like metadata and classification, retention windows, archiving rules, and refresh/cleansing cadence. No specific vendor tools are shown; claims focus on processes, responsibilities, and control points rather than implemented prototypes.
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chapters (7)
- 0:00Start
- 1:30INTRODUCTION - DATA GOVERNANCE.
- 2:57Data governance ensures that
- 4:16DATA GOVERNANCE CONT...
- 5:30OPEN SOURCE DATA MANAGEMEN
- 7:10INFORMATION QUALITY CRITERIA
- 17:59DATA LIFE CYCLE - SUMMARY - cont...
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