Date Venue Fee
05 Aug - 09 Aug 2024 Dubai – UAE $ 4,950 Register Now
28 Oct - 01 Nov 2024 Hanoi - Vietnam $ 5,950 Register Now
16 Dec - 20 Dec 2024 Dubai – UAE $ 4,950 Register Now
05 May - 09 May 2025 Dubai – UAE $ 4,950 Register Now
04 Aug - 08 Aug 2025 Dubai – UAE $ 4,950 Register Now
27 Oct - 31 Oct 2025 Hanoi - Vietnam $ 5,950 Register Now
15 Dec - 19 Dec 2025 Dubai – UAE $ 4,950 Register Now
About the Course

Organisation face increasing challenges in effectively managing, protecting, and deriving value from their data assets. The Certified Data Management Professional (CDMP) training course provides a rigorous program designed to equip delegates with the knowledge and skills to master modern data management's complexities. It is tailored for data professionals aspiring to attain CDMP certification, focusing on foundational principles, advanced techniques, and best practices across key data management domains.

Delegates will explore the fundamental data management principles, learning how to establish robust governance frameworks, ensure data quality, and integrate disparate data sources effectively. Emphasis is placed on mastering data modeling techniques such as entity-relationship modeling and dimensional modeling, which are essential for designing databases that support business analytics and decision-making processes. Additionally, it explores various data architectures, including traditional data warehouses, cloud-based solutions, and big data platforms, preparing participants to architect scalable and resilient data environments.

The training program also addresses critical aspects of data security and privacy, equipping delegates with strategies to safeguard sensitive information in compliance with global regulations like GDPR and CCPA. Practical sessions on data analytics and business intelligence empower delegates to harness data-driven insights, enabling them to leverage advanced analytics tools for predictive modeling, reporting, and visualisation. Delegates will possess a comprehensive understanding of data management fundamentals, advanced methodologies, and emerging trends necessary to excel in their roles and achieve CDMP certification. It will enhance technical proficiency and cultivate strategic thinking and leadership skills essential for driving organisational success in today's competitive digital landscape.

Core Objectives

The delegates will achieve the following objectives:

  • Understand foundational principles of data management, including data governance, modeling, and architecture
  • Explain the importance of data quality management and its impact on organisational decision-making
  • Apply data modeling techniques such as entity-relationship and dimensional modeling to design effective database structures
  • Analyse various data architectures and recommend suitable solutions based on organisational needs and scalability
  • Develop comprehensive data governance frameworks and policies tailored to ensure compliance with regulatory requirements
  • Evaluate data security measures and propose improvements to enhance the protection of sensitive information
  • Design and implement advanced data analytics strategies using BI tools to derive actionable insights and support business objectives
Training Approach

This training course emphasizes a blend of theoretical instruction and hands-on practical exercises. Delegates engage in interactive workshops and case studies that simulate real-world data management scenarios, allowing them to apply learned concepts in a controlled environment. This experiential learning approach fosters active participation, critical thinking, and skill development necessary for mastering data governance, modeling, architecture, and analytics in preparation for CDMP Certification.

The Attendees

This training course is tailored for professionals across various disciplines managing and leveraging organisational data effectively. Professionals responsible for implementing data governance, ensuring data quality, and driving business insights through data analytics. It equips delegates with the skills and knowledge required to excel in data management roles and obtain CDMP certification, preparing them to navigate complex data environments and contribute to organisational success.

Likewise, it will be valuable to the professionals but not limited to the following:

  • Data Managers
  • Database Administrators
  • Data Architects
  • Data Analysts
  • IT Managers
  • Business Intelligence (BI) Developers
  • Compliance Officers
Daily Discussion


  • Overview of Data Management Principles
  • Introduction to CDMP Certification and Its Examination
  • The Purpose and Scope of the DAMA International Data Management 
  • Data Governance Frameworks and Best Practices
  • Data Quality Management Strategies
  • Data Integration and ETL Processes
  • Master Data Management (MDM) Concepts
  • Data Stewardship and Ownership
  • Data Lifecycle Management
  • Metadata Management Strategies


  • Introduction to Data Modeling
  • Entity-Relationship (ER) Modeling
  • Dimensional Modeling for Data Warehouses
  • Logical and Physical Data Models
  • Normalisation Techniques
  • Schema Design in Relational Databases
  • NoSQL Database Design Principles
  • Data Modeling Tools and Techniques
  • Data Modeling for Big Data
  • Data Modeling Best Practices


  • Overview of Data Architecture
  • Enterprise Data Architecture Frameworks
  • Data Warehouse Architecture
  • Big Data Architecture Patterns
  • Cloud Data Management Strategies
  • Data Storage Technologies (RDBMS, NoSQL)
  • Data Virtualisation and Federation
  • Data Integration Platforms and Tools
  • Data Migration Strategies
  • Performance Tuning and Optimisation in Data Architecture 


  • Fundamentals of Data Security
  • Regulatory Compliance (GDPR, CCPA)
  • Data Encryption Methods and Techniques
  • Access Control and Authorisation Models
  • Data Masking and Anonymisation
  • Privacy Enhancing Technologies (PETs)
  • Security Incident Response and Management
  • Auditing and Monitoring for Data Security
  • Legal and Ethical Considerations in Data Privacy 


  • Introduction to Data Analytics
  • Business Intelligence (BI) Concepts and Strategies
  • Data Visualisation Techniques and Tools
  • Predictive Analytics and Machine Learning
  • Reporting and Dashboard Development
  • Data-driven Decision Making
  • Self-Service BI and Data Discovery
  • Data Analytics in Real-time and Streaming Data
  • Big Data Analytics Platforms (Hadoop, Spark)
  • Mock Examination
Course Enquiry
  • Durations 5 Days
  • Language English

A XCalibre Professional Development Certification will be given to the delegates upon successful completion of this training course.