Synopsis of Certified Data Management professional (CDMP) Course Overview

Last Updated : 03 Jul 2025

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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Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Schedule personalized sessions based upon your availability.

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Learning without limits. Create custom courses that fit your exact needs, from blended topics to brand-new content.

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Experience exceptional training with the confidence of our Happiness Guarantee, ensuring your satisfaction or a full refund.

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Immerse yourself in a focused learning environment, free from distractions, where you can sharpen your skills in popular global destinations.

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

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

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