What you'll learn:
- Be prepared to take the CDMP data management fundamental exam
- Test your knowledge with over 750 practice questions
- 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, explanation and testing
- Have a clearer understanding of the DAMA DMBOKv2
This course is presented and compiled by Veronica Diesel with the use of videos, slides, summary notes, mind maps ANDpractice questions to go over the chapters questioned in the CDMPData Management Fundamentals core exam (this is NOT a replacement for the DMBOK v2, it is helpful to have prior knowledge of the textbook as well as to have it on hand to go through when needed).
Each section addresses and explains a chapter in short, sweet and straight to the point using refresher videos accompanied with slides, notes and practice questions to visually explain each knowledge area. The refresher course was presented to students that attended Modelware Systems' 4 day course as a refresher in their exam preparation. The notes and questions also from part of the 4 day course.
Replay each video has many times as you want and take the test multiple times to understand the knowledge area and get ready to take the test. This course will enable you to quickly, and efficiently, go over all the information, as many times as you want to be extra prepared to confidently complete the 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.
This complete course 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.
The Mimic tests are set in a similar way to the exam.
This course addresses the below chapters of the DMBOKv2. It is a summary and does not provide the DMBOK itself.
Chapter 1 Data Management:
Chapter 2 Data Handling Ethics
Chapter 3 Data Governance
Chapter 4 Data Architecture
Chapter 5 Data Modelling & Design
Chapter 6 Data Storage & Operations
Chapter 7 Data Security
Chapter 8 Data Integration & Interoperability
Chapter 9 Document & Content Management
Chapter 10 Reference & Master Data
Chapter 11&14 DW & BI and Big Data
Chapter 12 Metadata
Chapter 13 Data Quality
Chapter 14: Big Data and Data Science
Chapter 15: Data Management Maturity Assessment
Chapter 16: Data Management Organisation and Role Expectations
Chapter 17: Data Management and Organisational Change Management
Chapter 18: Appendix: DMBOK Version 1 Notes for Reference
Chapter 19: Links to resources
