DAMA CDMP Data Management Fundamentals
In three days, the DAMA CDMP Fundamentals training lays a solid foundation for professional data management, shows you how to use data as a strategic business asset, and prepares you for the official DAMA CDMP exam from DAMA International.
What can you expect?
This training is fully focused on building a solid foundation in data management. You receive clear explanations of every discipline within the DAMA DMBoK2, exchange experiences with peers and apply what you learn in interactive assignments. Practice questions help you actively prepare for the CDMP exam.
You also receive the official DAMA DMBoK2 book, supporting slides, reading recommendations and concrete handles to position data management professionally within your organisation.
What will you learn?
After this training:
You understand why data is a strategic business asset ("Data as an Asset");
You can place the role of Data Governance and Data Management within your organisation;
You have an overview of all data management disciplines and how they connect;
You recognise the pitfalls and the opportunities in data management;
You can formulate an action plan for your own work situation;
You are well prepared for the CDMP Data Management Fundamentals exam.
Training setup
The training combines theory (DAMA DMBoK2) with practical examples from government, healthcare, finance, telecom and industry. Every section of the DMBoK is covered, discussed and practised. The interactive approach makes sure you connect what you learn directly to your own work.
Why take part?
Good data management is no longer a luxury. It is essential. Whether you are a data engineer, policy maker or business professional, this training gives you the language, the tools and the internationally recognised proof of your expertise.
Want to build your data knowledge faster, apply it directly and become certified by DAMA International?
Sign up today and take the first step toward your CDMP certification and a strong future in data management!
The training is developed and curated by professionals with deep applied knowledge and experience in the field. It covers all 11 disciplines identified by the international DAMA-DMBOK2 standard, including the topics Data Management Process, Data Handling Ethics, and Big Data & Data Science.
Data Management Process, 2%
Data Governance, 11%
Data Architecture, 6%
Metadata Management, 11%
Reference and Master Data, 10%
Data Warehousing and Business Intelligence, 10%
Data Modeling and Design, 11%
Data Quality, 11%
Data Integration and Interoperability, 6%
Data Storage and Operations, 6%
Document and Content Management, 6%
Big Data and Data Science, 2%
Data Security, 6%
Data Privacy and Ethics, 2%
Ferry Eijgel
Sr. Project Coordinator Data & Analytics | Trainer Connected Data Academy | CDMP
Philip du Maine
Data Architect & Technology Consultant | Trainer Connected Data Group
Jolanda van Gilst
Senior Data Architect & Trainer | Co-owner Connected Data Group
Teun Ruisch
Datamanagement Consultant & Trainer | Connected Data Group / DataToppers | CDMP
Erik Fransen
Mede-oprichter Connected Data Group | Bestuurslid DAMA NL | CDMP-trainer
After completing the training, we register you for the certification exam from DAMA International.
The English-language, open-book exam is developed by DAMA International. The exam tests your knowledge of the latest version of the Data Management Body of Knowledge (DAMA-DMBoK2 Revised Edition).
You complete the exam, consisting of 100 multiple-choice questions, within 90 minutes. If English is not your native language, the exam is extended by 20 minutes.
Who is this training for?
This training is suitable for anyone involved in data-driven work or in professionalising data management. Think of:
IT professionals
Information managers
Business analysts
Privacy officers
CISOs
Team leads and managers
Data stewards
Business controllers
And anyone who wants to better understand, manage and use data.
No specific technical prior knowledge is required. The training is both in-depth and practically accessible.
Recommended prior knowledge
No technical prior knowledge required
Some experience with data or information management is a plus