eLearning & Certification
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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 GrowthStand 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 FoundationStructured 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 RelevanceApplies 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 & CredibilityTalk 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 SkillsAligns 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 OutcomesSelf-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
Data Management Fundamentals
02
Data management
03
Data Governance
04
Data Architecture
05
Data Modeling and Design
06
Data Storage and Operations
07
Data Security
08
Data Integration and Interoperability
09
Document and Content Management
10
Reference and Master Data
11
Data Warehousing and Business Intelligence
12
Metadata (Management)
13
Data Quality (Management)
14
Data (Handling) Ethics
15
Big Data and Data Science
16
Data Management maturity assessment
17
Data Management organization and Role Expectations
18
Data Management and Organizational Change Management
19
Trial Exam
Skills You'll Gain
Data GovernanceUnderstanding governance structures, roles, and responsibilities
Creating data policies, standards, and decision-making frameworks
Setting up data stewardship models and accountability
Data Quality ManagementDefining and measuring data quality dimensions (accuracy, completeness, etc.)
Implementing quality monitoring and issue resolution processes
Root cause analysis and continuous improvement strategies
Metadata ManagementCapturing and managing business and technical metadata
Implementing metadata repositories and data catalogs
Enabling lineage, traceability, and impact analysis
Data ArchitectureUnderstanding conceptual, logical, and physical data models
Designing architecture that supports integration, governance, and reuse
Aligning architecture with enterprise and business needs
Data Modeling & DesignBuilding models that reflect business meaning and technical structure
Normalization, entity-relationship modeling, dimensional modeling
Using models to improve data understanding and system design
Master & Reference Data Management (MDM & RDM)Creating and maintaining “single versions of the truth”
Managing core entity data (customers, products, etc.) across systems
Harmonizing codes, classifications, and taxonomies
Data Integration & InteroperabilityTechniques for ETL, data pipelines, and APIs
Ensuring consistency across systems and silos
Managing data movement, replication, and synchronization
Data Security & PrivacyProtecting sensitive data across the lifecycle
Implementing access controls and privacy rules
Understanding data compliance (GDPR, CCPA, etc.)
Data Strategy & Lifecycle ManagementCrafting a business-aligned data strategy
Managing data across its lifecycle: creation, use, archive, delete
Enabling sustainable, scalable data practices
Data Literacy & CommunicationTranslating technical data concepts into business value
Engaging stakeholders and building data culture
Advocating for data-driven decision-making
Who Should Enroll
Designed for professionals who want to drive excellence and lead transformation.
Aspiring Data Management ProfessionalsJunior 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 PractitionersData 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 SpecialistsPeople already dealing with metadata, data quality, stewardship, etc.
CDMP helps them align with industry best practices and frameworks like DAMA-DMBOK.
IT & BI ProfessionalsBusiness Intelligence developers, database admins, architects.
Interested in understanding the business and governance side of data.
Those Preparing for the CDMP ExamCDMP 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