Dama-dmbok — 2 Pdf
(Note: Surrounding the wheel are and Big Data , which are treated as pervasive topics affecting all functional areas.)
The is a comprehensive framework published by DAMA International (Data Management Association). It compiles the collective wisdom, best practices, and generalized principles of hundreds of data management experts worldwide.
Collecting, organizing, and managing "data about data" (such as technical origins, business definitions, and lineage).
+-----------------------------------+ | DATA GOVERNANCE | +-----------------+-----------------+ | +------------------------------+------------------------------+ | | | +----+----+ +----+----+ +----+----+ | Data | | Data | | Data | | Arch. | | Model. | | Storage | +----+----+ +----+----+ +----+----+ | | | +----+----+ +----+----+ +----+----+ | Data | | BI & | | Content | | Security| | Analytics| | & Docs | +----+----+ +----+----+ +----+----+ | | | +----+----+ +----+----+ +----+----+ | Master | | Data | | Data | | Data | | Integ. | | Quality | +----+----+ +----+----+ +----+----+ | | | +------------------------------+------------------------------+ | +----+----+ | Metadata| +---------+ 1. Data Governance dama-dmbok 2 pdf
Many corporations utilize the DMBOK2 alongside the Capability Maturity Model Integration (CMMI) Data Management Maturity (DMM) framework. By assessing their practices against DMBOK guidelines, organizations can shift from "reactive" data firefighting to "optimized," data-driven operations. Choosing Your Format: Digital, Print, and PDF Access
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: "Data about data" for discovery and usage. Data Quality : Ensuring data is fit for purpose. Accessing the PDF (Note: Surrounding the wheel are and Big Data
For each of the 11 knowledge areas listed above, the DMBOK2 applies a consistent diagnostic lens known as the .
The DAMA-DMBOK2 is an essential reference guide for turning chaotic enterprise data into an organized, high-performing corporate asset. By applying its structural wheels, hexagons, and governance frameworks, modern enterprises can build a scalable data strategy capable of handling evolving business demands.
The tangible outputs generated by the specific knowledge area (e.g., data catalogs, models, reports). | | Quality | +----+----+ +----+----+ +----+----+ |
While the first edition laid the groundwork for standardized data management, DMBOK 2 introduces significant updates to reflect the modern data landscape. Key enhancements include:
Business glossaries, technical data catalogs, data lineage tracking, and metadata ingestion pipelines. 11. Data Quality
DMBOK2 outlines 11 primary knowledge areas (sometimes grouped into 10+ depending on framing). Key areas:
: Managing shared data across the enterprise.