
Description
Certified Data Management Professional (CDMP)
16th - 20th Nov 2026
Dubai, UAE
$4,950
Welcome to our Certified Data Management (CDMP) public course - a complete, industry aligned program designed to prepare participants for the DAMA® CDMP certification.
Includes:
Hands-on Labs, Templates, Real-World Use Cases, Exam Preparation Resources & Unique AI application for exam preparation.
Classroom Schedule:
Certification Target
This course prepares participants for the DAMA® International CDMP certification (Data Management Fundamentals exam).
The course content reflects the official 14-topic exam structure and weightings, ensuring learners spend the right amount of time on the most heavily examined areas.
Course Overview
Organisations today rely on trusted, well-managed data to drive analytics, regulatory compliance, digital transformation, and AI initiatives. Yet many still face challenges such as inconsistent definitions, poor data quality, unclear ownership, and fragmented systems. The CDMP certification provides a globally recognised, vendor-neutral framework for managing data as an enterprise asset, enabling professionals to address these challenges with confidence.
This course offers a practical, exam-aligned introduction to all 14 CDMP knowledge areas, including governance, quality, modelling, metadata, architecture, MDM, BI/DW, integration, security, and big data. Through structured explanations, hands-on workshops, and real-world examples, learners gain the skills to design and implement effective data management practices that support organisational goals.
Beyond exam preparation, this program helps participants build the capabilities needed to establish governance structures, improve data quality, manage metadata and lineage, design scalable architectures, and support data-driven decision-making. With focused coverage on the most heavily weighted exam topics, learners finish the course with both the knowledge and confidence required to succeed in the CDMP – Associate exam and contribute meaningful value to their organisations.
Instructor
We bring senior data leaders as instructors—professionals who combine:
Deep practical experience establishing data governance, quality, and architecture functions
Cross-industry exposure (financial services, government, healthcare, telecom, retail, energy)
Strong grounding in DMBoK® and enterprise best practices
Clear, business-first communication that bridges executives, product, analytics, and IT
Who Should Attend?
Data Managers, Data Governance Leads, Data Stewards
Business/Data Analysts, BI Developers, Data Engineers
Solution/Enterprise Architects
Data Product Managers and Analytics Leaders
Anyone seeking a vendor-neutral foundation in data management and the CDMP - Associate credential
Prerequisites
Familiarity with organisational data/analytics initiatives
Basic understanding of databases, metadata, and data lifecycle concepts
(Helpful but not required) Exposure to governance, quality, or architecture practices
Learning Objectives
Upon completion, learners will be able to:
Explain the DMBoK® functional areas and how they integrate into a cohesive data operating model
Establish data governance structures (roles, councils, policies, stewardship, decision rights)
Define and execute data quality controls (dimensions, rules, metrics, issues management)
Model data using conceptual, logical, and physical techniques; align models with business glossaries
Design foundational data architecture (domains, platforms, integration styles, lineage)
Implement metadata management (technical, business, operational) and catalog usage patterns
Plan MDM/Reference Data approaches (domains, matching/merging, mastering patterns)
Address data security & privacy (classification, protection, access, compliance)
Develop roadmaps, business cases, and KPIs for sustainable data management capabilities
Prepare effectively for the CDMP – Associate exam using targeted practice and exam-style drills
Organisational Impact
Implementing disciplined data management drives measurable benefits across risk, compliance, and value delivery. This course enables teams to:
Increase trust in data via governance, quality, and lineage
Reduce risk and compliance exposure through controls and accountability
Accelerate analytics & AI with standardized, reusable, welldefined data assets
Optimize costs by reducing duplication and rework across data platforms and projects
Improve timetoinsight with curated, cataloged, and productized datasets
Align business & IT via shared definitions, stewardship, and decision rights
Sustain capability with clear operating models, metrics, and continuous improvement
Certified Data Management Professional (CDMP)
Course Outline:
Exam Information
This course is aligned to the DAMA® International CDMP – Data Management Fundamentals () certification.
Exam Format
Computer-based, proctored exam
100 multiple-choice questions
120 minutes duration
Closed book
Scoring
Passing score determined by DAMA® International
Standard Passing Score: 60%
Coverage
The exam evaluates knowledge across the 14 DAMA-DMBOK® knowledge areas, with heavier weighting on:
Data Governance
Data Quality
Data Architecture
Data Modelling & Design
Metadata Management
Exam Preparation Support (Included in Course)
Topic-by-topic practice questions mapped to exam weightings
Timed mock exams
Exam-taking strategies and common pitfall guidance
Personalized readiness checklist
What's Included
Expert-led instructing
Hands-on labs aligned to the CDMP blueprint
Digital courseware and datasets
Exam preparation guidance (Special new AI preparation)
Official DAMA® CDMP exam
Customisation & Delivery Options
Ideal for:
Public enrolment
Corporate teams (customisable schedule and labs)
Industry-specific adaptations (finance, government, healthcare, retail)
