CDMP Data Management Exam Prep COMPLETE Course

CDMP Data Management Exam Prep COMPLETE Course, available at $99.99, has an average rating of 4.15, with 62 lectures, 20 quizzes, based on 43 reviews, and has 389 subscribers.

You will learn about 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 ideal for individuals who are Anyone who wants a one stop shop to refresh and prepare to write the DAMA CDMP Data Management Fundamentals exam It is particularly useful for Anyone who wants a one stop shop to refresh and prepare to write the DAMA CDMP Data Management Fundamentals exam.

Enroll now: CDMP Data Management Exam Prep COMPLETE Course

Summary

Title: CDMP Data Management Exam Prep COMPLETE Course

Price: $99.99

Average Rating: 4.15

Number of Lectures: 62

Number of Quizzes: 20

Number of Published Lectures: 62

Number of Published Quizzes: 20

Number of Curriculum Items: 82

Number of Published Curriculum Objects: 82

Original Price: $99.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

Anyone who wants a one stop shop to refresh and prepare to write the DAMA CDMP Data Management Fundamentals exam

Target Audiences

Anyone who wants a one stop shop to refresh and prepare to write the DAMA CDMP Data Management Fundamentals exam

This course is presented and compiled by Veronica Diesel with the use of videos, slides, summary notes, mind maps AND practice questions to go over the chapters questioned in the CDMP Data 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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Chapters covered

Chapter 2: Chapter 1: Data Management

Lecture 1: Chapter 1: Data Management

Lecture 2: Chapter 1 Data Management: Refresher Video

Lecture 3: Chapter 1 Data Management: Notes

Lecture 4: Chapter 1 Data Management: Mind Map

Chapter 3: Chapter 2: Data Handling Ethics

Lecture 1: Chapter 2: Data Handling Ethics

Lecture 2: Chapter 2 Data Handling Ethics: Refresher Video

Lecture 3: Chapter 2 Data Handling Ethics: Notes

Lecture 4: Chapter 2 Data Handling Ethics: Mind Map

Chapter 4: Chapter 3: Data Governance

Lecture 1: Chapter 3: Data Governance

Lecture 2: Chapter 3 Data Governance: Refresher Video

Lecture 3: Chapter 3 Data Governance: Notes

Lecture 4: Chapter 3 Data Governance: Mind Map

Chapter 5: Chapter 4 Data Architecture

Lecture 1: Chapter 4 Data Architecture

Lecture 2: Chapter 4 Data Architecture: Refresher Video

Lecture 3: Chapter 4 Data Architecture: Notes

Lecture 4: Chapter 4 Data Architecture: Mind Map

Chapter 6: Chapter 5 Data Modelling and Design

Lecture 1: Chapter 5 Data Modelling and Design

Lecture 2: Chapter 5 Data Modelling and Design: Refresher Video

Lecture 3: Chapter 5 Data Modelling and Design: Notes

Lecture 4: Chapter 5 Data Modelling and Design: Mind Map

Chapter 7: Chapter 6 Data Storage and Operations

Lecture 1: Chapter 6 Data Storage and Operations

Lecture 2: Chapter 6 Data Storage and Operations: Refresher Video

Lecture 3: Chapter 6 Data Storage and Operations: Notes

Lecture 4: Chapter 6 Data Storage and Operations: Mind Map

Chapter 8: Chapter 7 Data Security

Lecture 1: Chapter 7 Data Security

Lecture 2: Chapter 7 Data Security: Refresher Video

Lecture 3: Chapter 7 Data Security: Notes

Lecture 4: Chapter 7 Data Security: Mind Map

Chapter 9: Chapter 8 Data Integration and Interoperability

Lecture 1: Chapter 8 Data Integration and Interoperability

Lecture 2: Chapter 8 Data Integration and Interoperability: Refresher Video

Lecture 3: Chapter 8 Data Integration and Interoperability: Notes

Lecture 4: Chapter 8 Data Integration and Interoperability: Mind Map

Chapter 10: Chapter 9 Document and Content Management

Lecture 1: Chapter 9 Document and Content Management

Lecture 2: Chapter 9 Document and Content Management: Refresher Video

Lecture 3: Chapter 9 Document and Content Management: Notes

Lecture 4: Chapter 9 Document and Content Management: Mind Map

Chapter 11: Chapter 10 Reference and Master Data

Lecture 1: Chapter 10 Reference and Master Data

Lecture 2: Chapter 10 Reference and Master Data: Refresher Video

Lecture 3: Chapter 10 Reference and Master Data: Notes

Lecture 4: Chapter 10 Reference and Master Data: Mind Map

Chapter 12: Chapter 11 Data Warehousing and Business Intelligence

Lecture 1: Chapter 11 Data Warehousing and Business Intelligence

Lecture 2: Chapter 11 Data Warehousing and Business Intelligence: Refresher Video

Lecture 3: Chapter 11 Data Warehousing and Business Intelligence: Notes

Lecture 4: Chapter 11 Data Warehousing and Business Intelligence: Mind Map

Chapter 13: Chapter 12 Metadata Management

Lecture 1: Chapter 12 Metadata Management

Lecture 2: Chapter 12 Metadata Management: Refresher Video

Lecture 3: Chapter 12 Metadata Management: Notes

Lecture 4: Chapter 12 Metadata Management: Mind Map

Chapter 14: Chapter 13 Data Quality

Lecture 1: Chapter 13 Data Quality

Lecture 2: Chapter 13 Data Quality: Refresher Video

Lecture 3: Chapter 13 Data Quality: Notes

Lecture 4: Chapter 13 Data Quality: Mind Map

Chapter 15: Chapter 14 Big Data and Data Science

Lecture 1: Chapter 14 Big Data and Data Science

Lecture 2: Chapter 14 Big Data and Data Science: Notes

Lecture 3: Chapter 14 Big Data and Data Science: Mind Map

Chapter 16: Chapter 15 Data Management Maturity Assessment

Lecture 1: Chapter 15 Data Management Maturity Assessment: Notes

Chapter 17: Chapter 16 Data Management Organisation and Role Expectations

Lecture 1: Chapter 16 Data Management Organisation and Role Expectations: Notes

Chapter 18: Chapter 17 Data Management and Organisational Change Management

Lecture 1: Chapter 17 Data Management and Organisational Change Management: Notes

Chapter 19: Chapter 18: Appendix: DMBOK Version 1 Notes for Reference

Lecture 1: DMBOK v1 Notes to Reference

Chapter 20: Chapter 19: Links to resources

Lecture 1: Links to Resources

Chapter 21: Mimic Tests

Instructors

Veronica Diesel
Head Trainer and Director of Education

Rating Distribution

1 stars: 1 votes
2 stars: 4 votes
3 stars: 6 votes
4 stars: 11 votes
5 stars: 21 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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