DMBOK and CDMP Preparation: Data Management Fundamentals

This DIXONTECH course is aligned with the DAMA-DMBOK (Data Management Body of Knowledge) and prepares participants for the Certified Data Management Professional (CDMP) certification. The program covers foundational principles, frameworks, and best practices in data governance, quality, architecture, integration, and analytics. Participants will gain the knowledge and confidence to manage enterprise data effectively and excel in professional certification exams.

TRAINING TOPICS:

• Overview of DMBOK Framework and CDMP Certification

• Data Governance and Data Quality Management

• Data Architecture, Modeling, and Metadata Management

• Data Integration, Warehousing, and Business Intelligence

• Data Strategy, Ethics, and Exam Preparation Techniques

BY THE END OF THIS TRAINING COURSE, DELEGATES WILL BE ABLE TO:

By the end of this DIXONTECH training, participants will:

• Understand DMBOK knowledge areas and framework

• Prepare confidently for CDMP certification exams

• Apply best practices in enterprise data management

• Establish effective governance and quality policies

• Design and manage robust data architectures

• Align data management with organizational goals

• Evaluate data maturity and compliance standards

TRAINING IS TAILORED TO:

This course is designed for:

• Data management and governance professionals

• Enterprise architects and data engineers

• Data quality and compliance officers

• Business intelligence and analytics specialists

• IT and digital transformation managers

• CDMP candidates preparing for certification

• Consultants in data strategy and governance

TRAINING METHODOLOGY:

DIXONTECH combines concept-based instruction, exam-oriented preparation, and case-driven exercises. Participants explore each DMBOK domain through guided discussions, visual frameworks, and quizzes modeled after CDMP standards. The course integrates practice tests, study plans, and practical examples to ensure mastery of both theory and application.

DAY 1

Overview of DMBOK Framework and CDMP Certification

• Introduction to the DAMA framework and principles

• The 11 DMBOK knowledge areas overview

• Understanding CDMP certification levels and structure

• Key concepts of enterprise data management

• Data management roles and organizational alignment

• Preparing for CDMP: domains, exams, and strategies

• Case study: mapping data functions to DMBOK domains

DAY 2

Data Governance and Data Quality Management

• Foundations of data governance frameworks

• Establishing data stewardship and ownership

• Developing data policies, standards, and roles

• Managing data quality and master data processes

• Measuring and improving data accuracy and completeness

• Data ethics, privacy, and regulatory compliance

• Workshop: designing a governance and quality model

DAY 3

Data Architecture, Modeling, and Metadata Management

• Understanding enterprise data architecture layers

• Data modeling concepts: conceptual to physical

• Metadata management and cataloging techniques

• Data lineage, documentation, and traceability

• Integration with business architecture and strategy

• Tools and platforms supporting DMBOK architecture

• Practical lab: creating a metadata management blueprint

DAY 4

Data Integration, Warehousing, and Business Intelligence

• Data integration methods and ETL processes

• Designing data warehouses and data marts

• Overview of data lakes and hybrid architectures

• Business intelligence and analytics fundamentals

• Managing big data and streaming data pipelines

• Data virtualization and interoperability challenges

• Exercise: building an integrated BI data flow

DAY 5

Data Strategy, Ethics, and Exam Preparation Techniques

• Aligning data strategy with business objectives

• Developing a data maturity roadmap

• Data ethics, trust, and stewardship principles

• Review of all DMBOK knowledge areas

• Practice test and CDMP exam tips

• Review of key exam question patterns

• Final review and certification guidance session