Data Management Body of Knowledge (DMBoK) and Certified Data Management Professional (CDMP) Exam Preparation - Virtual Learning
Course Methodology
This training course uses an interactive and practical approach, combining expert-led presentations, group discussions, and real-world case studies. Hands-on exercises and mock exam questions help reinforce key concepts and prepare participants for the CDMP certification exam. Collaborative learning and experience sharing enable participants to apply best practices in their roles. The training course also includes continuous feedback and ongoing evaluations to ensure clarity and effective knowledge transfer.
Course Objectives
At the end of this training course, you will learn to:
- Understand and apply key data management concepts from DMBoK framework
- Develop strategies for effective data governance and quality management
- Analyze and improve data architecture, modeling, and integration processes
- Prepare for the CDMP Data Management Fundamentals exam
- Identify emerging trends and tools in data management and analytics
Target Audience
This training course is suitable for professionals involved in data management, governance, analytics, or related fields. It will also benefit those preparing for the CDMP certification to enhance their expertise.
This Gulf Rowad training course is suitable to a wide range of professionals but will greatly benefit:
- Data managers, analysts, and professionals in IT
- Business intelligence and data governance specialists
- Data architects and database administrators
- Risk, compliance, and data security professionals
- Project managers involved in data initiatives
Target Competencies
Organisational Impact
The Organisation will have the following benefits:
- Improved data governance and compliance practices
- Enhanced data quality and accuracy management
- Increased efficiency in data-driven decision-making
- Standardized data management processes and frameworks
- Better risk management and data security protocols
- Stronger foundation for business intelligence and analytics
Personal Impact
At the end of this training course, the participants will gain the following:
- Comprehensive understanding of data management principles
- Preparation for the CDMP Fundamentals certification exam
- Enhanced skills in data governance and quality
- Improved data modeling and integration techniques
- Knowledge of emerging data management trends
- Increased career opportunities in data management
Course Outline
Introduction to Data Management and Data Governance
- Overview of Data Management and its key drivers
- Understanding the DMBoK framework and its disciplines
- Introduction to DAMA CDMP certification and exam structure
- Data Governance principles and best practices
- Roles, responsibilities, and organizational models for Data Governance
- Data ethics and data sampling considerations
- Establishing and managing a Data Governance Office
Data Quality Management and Master Data Management
- Key facets and dimensions of Data Quality
- Policies and metrics for improving Data Quality
- Tools and techniques for Data Quality Management
- Differences between master and reference data
- Master Data Management architectures and implementation strategies
- Assessing Master Data Management maturity
- Relationship between Data Governance, Data Quality, and Master Data Management
Data Warehousing, BI, and Data Modeling
- Introduction to data warehousing and its role in organizations
- Major data warehouse architectures: Inmon vs. Kimball
- Dimensional Data Modeling concepts and practices
- Business Intelligence (BI) and analytics solutions overview
- Types of analytics and visualization techniques
- Data Modeling as a key element of Data Governance
Metadata Management and Data Integration
- Understanding metadata and its importance
- Types, sources, and uses of metadata
- Metadata repositories and business user access
- Data integration vs. data interoperability concepts
- Business and technology issues in data integration
- Guidelines for planning and providing data integration
Data Architecture, Lifecycle Management, and Data Security
- Types of data architecture and enterprise approaches
- Managing data across its entire lifecycle
- Differences between data lifecycle and SDLC
- Proactive data lifecycle planning and data value chain considerations
- Identifying and mitigating data risks
- Data security, privacy, and compliance frameworks
- Threat categories and defense mechanisms for data protection
- Adapting to evolving legal and regulatory requirements
2026 Schedule & Fees
| Date | City | Language | Price | Action |
|---|---|---|---|---|
| 28 Jun - 02 Jul, 2026 | Online | English | USD 2,000 | Book |
| 28 Jun - 02 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | English | USD 2,000 | Book |
| 05 Jul - 09 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 12 Jul - 16 Jul, 2026 | Online | English | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 19 Jul - 23 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | English | USD 2,000 | Book |
| 26 Jul - 30 Jul, 2026 | Online | Arabic | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | English | USD 2,000 | Book |
| 02 Aug - 06 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 09 Aug - 13 Aug, 2026 | Online | English | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 16 Aug - 20 Aug, 2026 | Online | English | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | Arabic | USD 2,000 | Book |
| 23 Aug - 27 Aug, 2026 | Online | English | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 30 Aug - 03 Sep, 2026 | Online | English | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Sep - 10 Sep, 2026 | Online | English | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Sep - 17 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | English | USD 2,000 | Book |
| 20 Sep - 24 Sep, 2026 | Online | Arabic | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | English | USD 2,000 | Book |
| 27 Sep - 01 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | English | USD 2,000 | Book |
| 04 Oct - 08 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | English | USD 2,000 | Book |
| 11 Oct - 15 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 18 Oct - 22 Oct, 2026 | Online | English | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | Arabic | USD 2,000 | Book |
| 25 Oct - 29 Oct, 2026 | Online | English | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 01 Nov - 05 Nov, 2026 | Online | English | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 08 Nov - 12 Nov, 2026 | Online | English | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 15 Nov - 19 Nov, 2026 | Online | English | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | Arabic | USD 2,000 | Book |
| 22 Nov - 26 Nov, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | English | USD 2,000 | Book |
| 29 Nov - 03 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | English | USD 2,000 | Book |
| 06 Dec - 10 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 13 Dec - 17 Dec, 2026 | Online | English | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
| 20 Dec - 24 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | English | USD 2,000 | Book |
| 27 Dec - 31 Dec, 2026 | Online | Arabic | USD 2,000 | Book |
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