DAMA DMBOK Explained | All 17-Chapters Deep dive | Data Management Podcast Series 2025

Опубликовано: 28 Май 2025
на канале: Prajesh Jha

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Based on DAMA-DMBOK (Data Management Body of Knowledge) Version 2, complete knowledge of Data Management with this comprehensive 3.2-hour DAMA-DMBOK video podcast. This podcast walks you through all 17 chapters of the DAMA-DMBOK (Data Management Body of Knowledge) version 2 , making it your go-to resource for mastering data governance, data quality, metadata, and much more.

Perfect for data professionals, CDMP aspirants, data architects, CIOs, data governance leads, and students of data science.

DAMA DMBOK | Data Management Body of Knowledge
https://www.dama.org/cpages/body-of-k...

Buy book @AmazonInOfficial
https://www.amazon.in/DAMA-DMBOK-Data...

📌 Chapters
00:00 - 01 Data Management Blueprint (15:37)
15:49- 02 Ethical Data Stewardship (11:29)
27:22- 03 Data Governance Essentials (8:24)
35:52- 04 Enterprise Data Architecture (10:50)
46:46- 05 Data Modeling Essentials (14:31)
1:01:22 - 06 Database Storage & Operations (11:26)
1:12:53- 07 Data Security Essentials (11:35)
1:24:34- 08 Data Integration Essentials (11:09)
1:35:48- 09 Document & Content Management (9:46)
1:45:40 - 10 Master Data Essentials (13:06)
1:59:00- 11 Data Warehousing & BI Essentials (10:47)
2:09:52 - 12 Mastering Metadata (9:56)
2:19:49 - 13 Data Quality Essentials (12:21)
2:32:15 - 14 Big Data Blueprint (13:13)
2:45:33- 15 Data Maturity Assessment (10:59)
2:56:37 - 16 Data Management Organization & Role (11:03)
3:07:46 - 17 Data-Driven Change (11:43)

📘 *DAMA-DMBOK v2 – List of All 17 Chapters / Knowledge Areas*

1. *Data Management*
An overview of data management principles and practices.

2. *Data Handling Ethics*
Guidelines and considerations for ethical data handling.

3. *Data Governance*
Establishing policies, standards, and accountability frameworks to ensure data quality and accessibility.

4. *Data Architecture*
Defining the structure of data elements and how they interact within the data system.

5. *Data Modeling and Design*
Developing data models that accurately represent business processes and support their improvement.

6. *Data Storage and Operations*
Implementing data storage solutions that maintain data integrity, availability, and performance.

7. *Data Security*
Protecting data from unauthorized access, ensuring privacy and compliance with regulations.

8. *Data Integration and Interoperability*
Designing and implementing data movement and consolidation within and between data sources.

9. *Document and Content Management*
Managing data stored in unstructured media, such as documents and multimedia content.

10. *Reference and Master Data*
Maintaining core critical shared data to enable consistent use across systems.

11. *Data Warehousing and Business Intelligence*
Planning, implementing, and controlling processes for managing decision-support data.

12. *Metadata Management*
Managing information that describes other data, facilitating data understanding and usage.

13. *Data Quality Management*
Ensuring data is accurate, complete, and reliable for its intended use.

14. *Big Data and Data Science*
Managing and analyzing large volumes of data to extract meaningful insights.

15. *Data Management Maturity Assessment*
Evaluating the maturity of data management practices within an organization.

16. *Data Management Organization and Role Expectations*
Defining roles and responsibilities within data management functions.

17. *Data Management and Organizational Change Management*
Managing the impact of data management initiatives on organizational change.

These chapters provide a structured approach to understanding and implementing effective data management practices.

🧠 Stay ahead in your data management career by understanding the gold standard framework trusted by global organizations.

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