: managing "data about data" to provide context and lineage. Finding Resources on GitHub
Which of the is currently causing the most friction or pain points in your workflow?
Do not try to launch all 11 knowledge areas at once. Start by establishing basic Data Governance , assessing your Data Quality , and building a reliable Metadata Management system (like a data catalog).
Data has become the most valuable asset for modern organizations. Managing this asset requires a structured, disciplined framework. The Data Management Association International (DAMA) created the Data Management Body of Knowledge (DMBOK2) to serve as the definitive standard for data management practices. dama-dmbok2 pdf github
: Defining the blueprint for managing data assets.
Mastering Data Management: How to Leverage the DAMA-DMBOK2 Framework
Open-source markdown files for writing data policies, stewardship charters, and data catalog definitions. : managing "data about data" to provide context and lineage
This discipline manages historical data cleanup and operational reporting platforms. It enables business analysis by structuring data for rapid querying, dashboards, and analytical reporting. 10. Metadata Management
: The central pillar that oversees accountability, policies, and standards.
The continuous process of measuring, assessing, improving, and ensuring the fitness of data for business purposes. Searching for "dama-dmbok2 pdf github": What to Expect Start by establishing basic Data Governance , assessing
How do we measure performance, quality, compliance, and business value?
Managing analytical data processing and enabling reporting.