DMBoK and CDMP Preparation: Data Management Fundamentals

Length

5 Days

Type

Classroom

Course ID

DSVL1022
VenueAvailable Date
Amsterdam06-07-2026
Milan06-07-2026
Paris06-07-2026
Singapore13-07-2026
London13-07-2026
Dubai19-07-2026
Barcelona20-07-2026
Kuala Lumpur20-07-2026
Istanbul27-07-2026
Kuala Lumpur03-08-2026
Amsterdam03-08-2026
Istanbul10-08-2026
Singapore10-08-2026
Paris17-08-2026
Barcelona17-08-2026
London24-08-2026
Milan24-08-2026
Dubai30-08-2026
Paris07-09-2026
Singapore07-09-2026
London14-09-2026
Barcelona14-09-2026
Dubai20-09-2026
Kuala Lumpur21-09-2026
Amsterdam28-09-2026
Milan28-09-2026
Istanbul28-09-2026
Singapore05-10-2026
Paris05-10-2026
Barcelona12-10-2026
London12-10-2026
Dubai18-10-2026
Kuala Lumpur19-10-2026
Milan19-10-2026
Istanbul26-10-2026
Amsterdam26-10-2026
London02-11-2026
Kuala Lumpur02-11-2026
Dubai08-11-2026
Istanbul09-11-2026
Amsterdam16-11-2026
Milan16-11-2026
Paris16-11-2026
Singapore23-11-2026
Barcelona30-11-2026
Singapore07-12-2026
Kuala Lumpur14-12-2026
London14-12-2026
Barcelona14-12-2026
Dubai20-12-2026
Istanbul21-12-2026
Milan21-12-2026
Paris28-12-2026
Amsterdam28-12-2026

You don't just handle data; you also decide how it will run your whole business.


As companies rely more on data, there is a growing need for people who know how to manage structured, ethical, and scalable data. The DMF0122: DMBoK and CDMP Preparation – Data Management Fundamentals course from LPC Training is designed to give you a deep, useful understanding of how to manage data in a business and help you get ready for CDMP certification.


You'll spend five full days going over the entire DAMA-DMBOK framework, including governance, metadata, data modeling, normalization, and lifecycle management. Through real-world use cases, conceptual exercises, and a strong focus on terminology and modeling techniques, you’ll develop the skills needed to communicate data structure with clarity—and design solutions that support growth, compliance, and strategic decision-making.


You’ll also learn how to apply ethical and secure practices, align data strategy with business goals, and confidently navigate the core disciplines that define modern data management.