Dama-dmbok 2 Pdf Repack 【AUTHENTIC — Checklist】
Planning for data modeling, building and reviewing data models, maintaining models, tools, best practices, data model governance, quality management, and metrics.
Data Storage and Operations encompasses the physical deployment and administrative support of stored data to maximize its value throughout its lifecycle.
By establishing robust data quality and business intelligence standards, leadership teams can make strategic decisions based on trusted analytics rather than intuition.
For each of the 11 knowledge areas detailed above, the DMBOK2 applies a structured analysis framework known as the . This ensures that people, processes, and technology are all balanced when implementing data initiatives. dama-dmbok 2 pdf
Managing the physical storage, maintenance, and backup of data.
+-----------------------------------+ | DATA GOVERNANCE | +-----------------+-----------------+ | +------------------------------+------------------------------+ | | | +----+----+ +----+----+ +----+----+ | Data | | Data | | Data | |Archi- | |Model- | | Storage | |tecture | | ing | | & Ops | +----+----+ +----+----+ +----+----+ | | | +----+----+ +----+----+ +----+----+ | Data | | Master | | Data | |Security | | & Ref | | Ware- | +----+----+ +----+----+ | housing | | | +----+----+ +----+----+ +----+----+ | | Meta- | | Data | +----+----+ | data | | Quality | | Integr- | +----+----+ +----+----+ | ation | | | +----+----+ +------------------------------+------------------------------+ | +------------+------------+ | Document & Content | +-------------------------+ 1. Data Governance
This comprehensive article explores the core structure of DAMA-DMBOK2, its foundational principles, the 11 data management knowledge areas, and how to effectively utilize this resource to advance your career and organizational data maturity. What is DAMA-DMBOK 2? Planning for data modeling, building and reviewing data
The DMBOK2 is structured around the , which defines eleven fundamental knowledge areas that cover the entire data management spectrum 1.2.2 :
When DAMA releases a revised edition (as happened in 2024), PDF purchasers get immediate access to the updated content. Print buyers may need to purchase a new copy to receive the revisions.
+-----------------------------------+ | DATA GOVERNANCE | +-----------------+-----------------+ | +------------------------------+------------------------------+ | | | +----+----+ +----+----+ +----+----+ | Data | | Data | | Data | |Archi- | |Model & | | Storage | |tecture | | Design | | & Ops | +----+----+ +----+----+ +----+----+ | | | +----+----+ +----+----+ +----+----+ | Data | | Master | | Data | |Security | |& Ref | | Quality | +----+----+ | Data | +----+----+ | +----+----+ | +----+----+ | +----+----+ | Data | +----+----+ | Metadata| | Ware- | | Interop | | Manage- | | house & | | & Inte- | | ment | | BI | | gration | +----+----+ +----+----+ +----+----+ | | | | +------------------------------+------------------------------+ | +------------+------------+ | Document & Content | | Management | +-------------------------+ 1. Data Governance For each of the 11 knowledge areas detailed
Providing lineage and context for "data about data".
It provides actionable maturity models and environmental elements for data projects. The 11 Knowledge Areas: The DAMA Wheel
The deployment and execution of database management support. It focuses on maximizing the value of data throughout its lifecycle, from initial storage to archiving and deletion. 5. Data Security