Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Data Management CDMP Exam Prep: DMBOKv2 Summary Notes
Rating: 4.6 out of 5(6 ratings)
182 students

Data Management CDMP Exam Prep: DMBOKv2 Summary Notes

Summary notes of the CDMP DMBOKv2
Created byVeronica Diesel
Last updated 12/2025
English

What you'll learn

  • Be prepared to take the CDMP data management fundamental exam
  • Have a clearer understanding of the DAMA DMBOKv2
  • Students will be able to write the exam within 5 weeks if dedicated and follows the course
  • Be able to explore and understand each and every chapter with summary and explanation

Course content

2 sections • 36 lectures • 4h 58m total length

  • Course Introduction
  • Chapters9:31
  • Chapter 1 Notes: Data Management12:20
  • Chapter 1 Mind Map: Data Management
  • Chapter 2 Notes: Data Handling Ethics3:56
  • Chapter 2 Mind Map: Data Handling Ethics
  • Chapter 3 Notes: Data Governance12:46
  • Chapter 3 Mind Map: Data Governance
  • Chapter 4 Notes: Data Architecture11:42
  • Chapter 4 Mind Map: Data Architecture
  • Chapter 5 Notes: Data Modelling and Design17:25
  • Chapter 5 Mind Map: Data Modelling and Design
  • Chapter 6 Notes: Data Storage and Operations15:40
  • Chapter 6 Mind Map: Data Storage and Operations
  • Chapter 7 Notes: Data Security13:09
  • Chapter 7 Mind Map: Data Security
  • Chapter 8 Notes: Data Integration and Interoperability11:11
  • Chapter 8 Mind Map: Data Integration and Interoperability
  • Chapter 9 Notes: Document and Content Management18:58
  • Chapter 9 Mind Map: Document and Content Management
  • Chapter 10 Notes: Reference and Master Data13:36
  • Chapter 10 Mind Map: Reference and Master Data
  • Chapter 11 Notes: Data Warehousing and Business Intelligence12:35
  • Chapter 11 Mind Map: Data Warehousing and Business Intelligence
  • Chapter 12 Notes: Metadata Management11:28
  • Chapter 12 Mind Map: Metadata Management
  • Chapter 13 Notes: Data Quality19:10
  • Chapter 13 Mind Map: Data Quality
  • Chapter 14 Notes: Big Data and Data Science9:04
  • Chapter 14 Mind Map: Big Data and Data Science
  • Chapter 15 Notes: Data Management Maturity Assessment7:26
  • Chapter 16 Notes: Data Management Organisation and Role Expectations8:31
  • Chapter 17 Notes: Data Management and Organisational Change Management11:35
  • Chapter 18: Appendix: DMBOK Version 1 Notes for Reference8:42
  • Chapter 19: Links to resources0:48

Requirements

  • Beginner friendly. Previous DMBOK exposure is helpful

Description

These notes and mind maps were summarized and assembled by Veronica Diesel using the DMBOKv2 diagrams and content to go over the chapters questioned in the CDMP Data Management Fundamentals core exam.  An additional chapter containing information in DMBOK v1 has also been included to make sure you are cover for the questions that are still included in the exam, but are not found in the DMBOKv2.

These notes form part of the content worked through in the Modelware Systems' 4 day course (don't forget to look at the refresher videos course to have Veronica walk you through the notes).

Work through the notes as long and as many times as you want to understand the knowledge area and get ready to take the test.  These notes will enable you to efficiently go over all the information in your own time, as many times as you want to be extra prepared to confidently complete the exam.

This course addresses the below chapters of the DMBOKv2.  It is a summary and does not provide the DMBOK itself.

  1. Chapter 1 Data Management:

  2. Chapter 2 Data Handling Ethics

  3. Chapter 3 Data Governance

  4. Chapter 4 Data Architecture

  5. Chapter 5 Data Modelling & Design

  6. Chapter 6 Data Storage & Operations

  7. Chapter 7 Data Security

  8. Chapter 8 Data Integration & Interoperability

  9. Chapter 9 Document & Content Management

  10. Chapter 10 Reference & Master Data

  11. Chapter 11&14 DW & BI and Big Data

  12. Chapter 12 Metadata

  13. Chapter 13 Data Quality

  14. Chapter 14: Big Data and Data Science

  15. Chapter 15: Data Management Maturity Assessment

  16. Chapter 16: Data Management Organisation and Role Expectations

  17. Chapter 17: Data Management and Organisational Change Management

  18. Chapter 18: Appendix:  DMBOK Version 1 Notes for Reference

  19. Chapter 19: Links to resources

Who this course is for:

  • Anyone who wants to write the DAMA CDMP Data Management Fundamentals exam

Report abuse