The fundamentals and significance of the CDMP certification and how it aligns with DAMA-DMBOK2
A high-level understanding of the 14 core knowledge areas of data management
How to implement effective data governance, roles, policies, and compliance practices
Key concepts of data architecture, including frameworks like TOGAF and Zachman
Techniques in data modeling and design, including ER and dimensional modeling
How to measure, monitor, and improve data quality
Core principles of data warehousing, BI, and the difference between data lakes and warehouses
Data integration methods, MDM approaches, and interoperability standards
The importance of metadata, its types, and tools for managing it
Best practices in data security, privacy, and regulatory compliance (GDPR, HIPAA, etc.)
Managing the data lifecycle, from creation to archival and disposal
Understanding and applying reference and master data management practices
Handling unstructured data through document and content management systems
Ethical principles in data usage, including data stewardship and global data ethics frameworks
