eLearning & Certification
24/5 Technical Support
Data Management based on DMBoK - CDMP exam preparation
€1,208.79
Excl. VAT: €999.00
What's Included
Everything you need for certification success — no hidden extras.
Accelerates Career Growth
Stand out in a crowded market: CDMP-aligned skills are globally recognized and increasingly requested in job postings for data roles.
Prepares for certification: This training fast-tracks your CDMP prep — without drowning in the DAMA-DMBOK swamp.
Opens doors to leadership: Understanding data governance, architecture, and quality positions you for senior roles like Data Steward, Governance Lead, or even CDO in the making.
Builds a Solid Data Management Foundation
Structured knowledge: You’ll cover the full data lifecycle — from strategy to operations — in a cohesive, digestible way.
Bridges business & tech: Ideal for anyone stuck between data engineering and business operations. Finally, a common language.
Immediate Job Relevance
Applies to real work: Every module can be mapped to day-to-day challenges like data silos, unclear ownership, or low trust in data.
Boosts impact of analytics: Clean, governed, high-quality data = better insights. That’s the foundation for any data-driven decision-making.
Boosts Confidence & Credibility
Talk like a pro: Learn the lingo (metadata, reference data, master data, lineage, governance...) and use it correctly in conversations with IT, compliance, or business stakeholders.
Earn stakeholder trust: You’ll be able to explain why data matters and how to manage it — not just throw dashboards at problems.
Future-Proofs Your Skills
Aligns with data regulations: Think GDPR, CCPA, and AI governance — all these depend on solid data management principles.
Supports AI/ML efforts: AI is only as good as the data behind it. This training makes sure the data is trustworthy and explainable.
Flexible Learning, Practical Outcomes
Self-paced & focused: Learn at your speed, with modules that fit into busy schedules (perfect for professionals juggling work).
Actionable frameworks: Not just theory — you get templates, workflows, and examples you can apply immediately.
Course Overview
Languages: 20+
Support: 24/7
Exam included: No
Exam Available: Yes
Course Structure
01
Module 1
Data Management Fundamentals
02
Module 2
Data management
03
Module 3
Data Governance
04
Module 4
Data Architecture
05
Module 5
Data Modeling and Design
06
Module 6
Data Storage and Operations
07
Module 7
Data Security
08
Module 8
Data Integration and Interoperability
09
Module 9
Document and Content Management
10
Module 10
Reference and Master Data
11
Module 11
Data Warehousing and Business Intelligence
12
Module 12
Metadata (Management)
13
Module 13
Data Quality (Management)
14
Module 14
Data (Handling) Ethics
15
Module 15
Big Data and Data Science
16
Module 16
Data Management maturity assessment
17
Module 17
Data Management organization and Role Expectations
18
Module 18
Data Management and Organizational Change Management
19
Module 19
Trial Exam
Skills You'll Gain
Data Governance Understanding governance structures, roles, and responsibilities
- Data Governance Understanding governance structures, roles, and responsibilities
Creating data policies, standards, and decision-making frameworks
- Creating data policies, standards, and decision-making frameworks
Setting up data stewardship models and accountability
- Setting up data stewardship models and accountability
Data Quality Management Defining and measuring data quality dimensions (accuracy, completeness, etc.)
- Data Quality Management Defining and measuring data quality dimensions (accuracy, completeness, etc.)
Implementing quality monitoring and issue resolution processes
- Implementing quality monitoring and issue resolution processes
Root cause analysis and continuous improvement strategies
- Root cause analysis and continuous improvement strategies
Metadata Management Capturing and managing business and technical metadata
- Metadata Management Capturing and managing business and technical metadata
Implementing metadata repositories and data catalogs
- Implementing metadata repositories and data catalogs
Enabling lineage, traceability, and impact analysis
- Enabling lineage, traceability, and impact analysis
Data Architecture Understanding conceptual, logical, and physical data models
- Data Architecture Understanding conceptual, logical, and physical data models
Designing architecture that supports integration, governance, and reuse
- Designing architecture that supports integration, governance, and reuse
Aligning architecture with enterprise and business needs
- Aligning architecture with enterprise and business needs
Data Modeling & Design Building models that reflect business meaning and technical structure
- Data Modeling & Design Building models that reflect business meaning and technical structure
Normalization, entity-relationship modeling, dimensional modeling
- Normalization, entity-relationship modeling, dimensional modeling
Using models to improve data understanding and system design
- Using models to improve data understanding and system design
Master & Reference Data Management (MDM & RDM) Creating and maintaining “single versions of the truth”
- Master & Reference Data Management (MDM & RDM) Creating and maintaining “single versions of the truth”
Managing core entity data (customers, products, etc.) across systems
- Managing core entity data (customers, products, etc.) across systems
Harmonizing codes, classifications, and taxonomies
- Harmonizing codes, classifications, and taxonomies
Data Integration & Interoperability Techniques for ETL, data pipelines, and APIs
- Data Integration & Interoperability Techniques for ETL, data pipelines, and APIs
Ensuring consistency across systems and silos
- Ensuring consistency across systems and silos
Managing data movement, replication, and synchronization
- Managing data movement, replication, and synchronization
Data Security & Privacy Protecting sensitive data across the lifecycle
- Data Security & Privacy Protecting sensitive data across the lifecycle
Implementing access controls and privacy rules
- Implementing access controls and privacy rules
Understanding data compliance (GDPR, CCPA, etc.)
- Understanding data compliance (GDPR, CCPA, etc.)
Data Strategy & Lifecycle Management Crafting a business-aligned data strategy
- Data Strategy & Lifecycle Management Crafting a business-aligned data strategy
Managing data across its lifecycle: creation, use, archive, delete
- Managing data across its lifecycle: creation, use, archive, delete
Enabling sustainable, scalable data practices
- Enabling sustainable, scalable data practices
Data Literacy & Communication Translating technical data concepts into business value
- Data Literacy & Communication Translating technical data concepts into business value
Engaging stakeholders and building data culture
- Engaging stakeholders and building data culture
Advocating for data-driven decision-making
- Advocating for data-driven decision-making
Who Should Enroll
Designed for professionals who want to drive excellence and lead transformation.
Aspiring Data Management Professionals Junior data analysts, data stewards, or recent grads looking to enter the data management field.
They want a solid foundation and a recognized credential.
Mid-level Data Practitioners Data analysts, data engineers, business analysts, and data quality specialists.
Often self-taught or siloed; they’re looking to formalize knowledge and grow into governance/leadership roles.
Data Governance & Quality Specialists People already dealing with metadata, data quality, stewardship, etc.
CDMP helps them align with industry best practices and frameworks like DAMA-DMBOK.
IT & BI Professionals Business Intelligence developers, database admins, architects.
Interested in understanding the business and governance side of data.
Those Preparing for the CDMP Exam CDMP is becoming a benchmark in many orgs. This group wants targeted, efficient prep
Ready to Get Certified?
Complete certification package — best value
Complete Package
Data Management based on DMBoK - CDMP exam preparation
- 20
- Essentials
- 365 days