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Synopsis of Certified Data Management professional (CDMP) Course Overview

Synopsis of Certified Data Management professional (CDMP) Course Overview

The Certified Data Management Professional (CDMP) course is a comprehensive training program designed to elevate the skills of data management professionals. It encompasses all critical areas of data management, aligning with the DAMA International's Data Management Body of Knowledge (DMBOK). Through this course, individuals can achieve DAMA certification, verifying their expertise in the field.

Module 1, focusing on Data Governance, lays the foundation for understanding the policies and processes needed to manage data assets efficiently. Module 2 covers Data Architecture, teaching the principles of structuring data to support business strategy. Module 3 delves into Data Modeling and Design, essential for creating accurate data representations.

Subsequent modules address Data Storage and Operations (Module 4), Data Security (Module 5), ensuring the protection of data assets, and Data Integration (Module 6), which is about combining data from different sources. Document and Content Management is explored in Module 7, while Reference and Master Data management is the focus of Module 8. DW/BI (Data Warehousing and Business Intelligence) is covered in Module 9, imparting knowledge on data analysis tools.

Module 10 on Metadata Management and Module 11 on Data Quality round off the course, equipping learners with the ability to manage metadata and ensure high-quality data. This DAMA certification training is essential for those seeking to validate their data management skills and knowledge.

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  • Live Online Training (Duration : 24 Hours)
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Course Prerequisites

Prerequisites for the Certified Data Management Professional (CDMP) course:


  • Basic understanding of data concepts and data management practices
  • Familiarity with core IT principles, such as databases and data structures
  • Exposure to business operations and how data supports decision-making
  • Some experience with information systems or a background in IT is helpful but not mandatory
  • Willingness to learn about various aspects of data governance, architecture, and security
  • Analytical thinking and problem-solving skills
  • Proficiency in English, as the course material and instruction will typically be delivered in English

Please note that while these prerequisites are recommended, they are not strictly mandatory. Individuals with a strong desire to learn and a commitment to professional development may also successfully undertake the CDMP course.


Target Audience for Synopsis of Certified Data Management professional (CDMP)

  1. The CDMP course equips professionals with comprehensive data management expertise, catering to those in IT and data-focused roles.


  2. Target audience for the Certified Data Management Professional (CDMP) course:


  • Data Analysts
  • Data Architects
  • Data Governance Specialists
  • Data Stewards
  • Database Administrators
  • IT Managers
  • Business Intelligence Analysts
  • Data Scientists
  • Enterprise Architects
  • Information Systems Managers
  • IT Consultants
  • Master Data Managers
  • Data Quality Managers
  • Content Management Specialists
  • Data Security Analysts
  • Data Integration Specialists
  • Data Warehouse Specialists


Learning Objectives - What you will Learn in this Synopsis of Certified Data Management professional (CDMP)?

  1. The CDMP course offers a comprehensive understanding of data management principles, ensuring proficiency in data governance, architecture, modeling, security, and quality across various domains.

  2. Learning Objectives and Outcomes:

  • Understand the principles and practices of data governance and how to implement data governance frameworks and policies.
  • Learn the components of data architecture and how to design data solutions that meet organizational needs.
  • Gain expertise in data modeling and design for structuring and organizing data effectively.
  • Acquire knowledge of data storage technologies and operations to ensure efficient data accessibility and maintenance.
  • Comprehend the importance of data security and the methods to safeguard data against unauthorized access and breaches.
  • Explore data integration techniques for consolidating data from disparate sources and ensuring data consistency.
  • Delve into document and content management strategies for organizing, storing, and retrieving digital content.
  • Understand the role of reference and master data in providing consistent data across the enterprise.
  • Examine data warehousing and business intelligence (DW/BI) concepts for strategic decision-making.
  • Learn about metadata management and its significance in understanding data context and lineage.
  • Recognize the importance of data quality and the processes involved in ensuring high-quality data.