DMBoK and CDMP Preparation: Data Management Fundamentals Course in Paris

Building Strong Data Management Foundations for DAMA-DMBOK and CDMP Preparation

Effective data management requires more than technology. Organisations need clear governance, reliable architecture, consistent models, strong quality controls, secure storage, and well-defined responsibilities to ensure data can support operations, compliance, analytics, and strategic decision-making.

The DMBoK and CDMP Preparation: Data Management Fundamentals training course provides participants with a practical introduction to the DAMA-DMBOK framework and the core disciplines that shape modern enterprise data management. Across five days, participants explore data governance, architecture, modelling, quality, metadata, master and reference data, security, lifecycle management, warehousing, and organisational change.

The programme also supports preparation for the Certified Data Management Professional (CDMP) examination by reinforcing core terminology, concepts, modelling techniques, and DAMA-DMBOK knowledge areas. Completion of the course does not itself award the CDMP credential; participants must meet the relevant certification requirements and successfully complete the applicable examination.

What You Will Learn

By the end of the DMBoK and CDMP Preparation: Data Management Fundamentals training course, you will:

• Explain the purpose and structure of the DAMA-DMBOK framework.
• Understand the major data management knowledge areas.
• Align data management practices with business objectives.
• Apply data governance principles and define accountability.
• Understand ethical responsibilities in data management.
• Design scalable data architecture concepts.
• Develop conceptual and logical data models.
• Use entity-relationship modelling to represent business rules.
• Apply top-down and bottom-up modelling approaches.
• Normalise data structures for relational database design.
• Identify and improve data quality.
• Understand data integration and interoperability principles.
• Apply metadata, master data, and reference data concepts.
• Understand data security, storage, backup, and recovery practices.
• Prepare more effectively for the CDMP Data Management Fundamentals examination.