DAMA International's DMBoK (Data Management Book of Knowledge) is a comprehensive guide to international data management standards and practices for data management professionals.
DAMA International is proud to be partnered with world-leading organizations to provide best-in-class training opportunities for data management professionals, accessible across the globe.
Professional certification proves knowledge, skill and experience in a field. The Certified Data Management Professional designation shows growth and commitment in the field of Data Science, and can enhance your career goals.
Professional certification is an indication of knowledge, skills and experience in a field. DAMA International has constructed the Certified Data Management Professional (CDMP) designation. The certification program gives data management professionals the opportunity to show professional growth that can enhance their personal and career goals.
Professionals participate in continuing education to stay current with best practices and to further develop specialised skills. Most data management training is generally focused on developing skills with specific technology products. The focus on technical training can mask the fact that Data Management is a business function.
The Certified Data Management Professional (CDMP) credential is awarded to those who qualify based on a combination of criteria including education, experience and test-based examination of professional level knowledge. This credential is offered at the Mastery or Practitioner level. To maintain certified status and continued use of the credential, an annual re-certification fee along with a 3-year cycle of continuing education and professional activity is required.
The links below will bring you to the CMDP Info I certification pages
What is the DMBOK?
Data Management Body of Knowledge (DAMA-DMBOK Guide) is a collection of processes and best practices within the Data Management and Data Goverance area. The DMBOK contains generally accepted as best practices and references for each Data Management discipline.
Data Management (DM) is an overarching term that describes the processes used to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control, and purge data. These processes overlap and interact within each data management knowledge area.
The current DM environment can be a confusing combination of terms, methods, tools, opinion, and hype.
To mature this discipline, DAMA International’s Guide to the Data Management Body of Knowledge (DAMA-DMBOK) provides concepts and capability maturity models for the standardization of:
Standardization of data management disciplines will help data management professionals perform more effectively and consistently.
Today’s organizations recognize that managing data is central to their success. They recognize the value of their data and seek to leverage that value. As human capacity to create and exploit data has increased, so too has the need for reliable data management practices. This is what the DAMA-DMBOK is all about, among also the theory for the CMDP certification. Read more...
Navigating the Labyrinth is a concise guide to data management, providing an executive’s overview to the DMBOK2. If you are leading an organization or if you need to communicate with leaders about data management, Navigating the Labyrinth is your guide. Read more…
DAMA Denmark is a non-profit organization for Data Management professionals,
The DAMA Denmark chapter was as of September 2020 officially approved as an affiliate of DAMA-International.