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In-Depth Exam preparation for Certified Data Management professional (CDMP) Course Overview

In-Depth Exam preparation for Certified Data Management professional (CDMP) Course Overview

The Certified Data Management Professional (CDMP) course is a comprehensive program that equips learners with the knowledge and skills required to manage and ensure the integrity of an organization's data. This in-depth exam preparation covers key areas of data management, from the foundational concepts to advanced practices.

Module 1: Data Management introduces the principles and practices essential for data professionals. As learners progress through the modules, they will explore Data handling ethics, ensuring compliance and ethical considerations in data usage, and Data governance, which focuses on the policies and standards for data management.

Advanced modules delve into Data Architecture, Data modelling and design, and Data storage and operations, providing a robust understanding of how data is structured, designed, and maintained. Data security is crucial, addressing protective measures to safeguard data, while Data integration teaches methods for combining data from various sources.

Learners will also study Document and content management, Reference and master data, and DW BI (Data Warehousing and Business Intelligence), which are vital for maintaining data accuracy and supporting business decisions. Metadata management and Data quality ensure that data is well-documented and reliable.

Further modules like Big data and Data science prepare learners for handling large-scale data analytics projects, and the Data management Maturity Assessment provides tools for evaluating an organization’s data management capabilities.

Finally, the course addresses organizational aspects, such as the Data management organization and role expectations and Data management and organizational change management, ensuring learners can effectively implement and manage data strategies within their companies.

By completing this course, participants will be well-prepared to take the CDMP certification exam and apply best practices in data management to their organizations.
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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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Course Prerequisites

To successfully undertake training in the In-Depth Exam Preparation for Certified Data Management Professional (CDMP) course, students should meet the following minimum prerequisites:


  • Basic understanding of IT concepts and terminology.
  • Familiarity with core data management principles and practices.
  • Some experience or exposure to data handling within an organizational context.
  • Interest in pursuing a professional career in data management.
  • Willingness to engage with technical and non-technical aspects of data management.
  • Ability to comprehend and communicate in the language in which the training is delivered (typically English).

Please note that while these prerequisites are aimed at providing a foundation for the CDMP course, motivation and a commitment to learn can often compensate for a lack of experience in certain areas.


Mastering Data Governance: A Comprehensive Beginner’s Guide
In-Depth Exam preparation for Certified Data Management professional (CDMP)

Target Audience for In-Depth Exam preparation for Certified Data Management professional (CDMP)

  1. This comprehensive course readies IT professionals for the CDMP exam, covering data management fundamentals to advanced concepts.


  2. Target Audience and Job Roles:


  • Data Management Professionals
  • Data Architects and Modelers
  • Database Administrators
  • Data Governance and Quality Analysts
  • Data Scientists and Big Data Analysts
  • Data Security Officers
  • Business Intelligence Professionals
  • IT Managers overseeing data-driven projects
  • Data Warehousing Specialists
  • Metadata Managers
  • Master and Reference Data Managers
  • Data Analysts and Consultants
  • Information Systems and Content Managers
  • Compliance Officers and Risk Managers
  • Professionals seeking CDMP certification


Learning Objectives - What you will Learn in this In-Depth Exam preparation for Certified Data Management professional (CDMP)?

Introduction to Course Learning Outcomes and Concepts Covered:

This CDMP exam preparation course provides a comprehensive framework for mastering data management skills, covering ethical handling, governance, architecture, modeling, security, integration, and more.

Learning Objectives and Outcomes:

  • Understand the principles and practices of Data Management, including its importance and benefits within an organization.
  • Learn about Data Handling Ethics and how to manage data responsibly and in compliance with legal standards.
  • Gain knowledge of Data Governance frameworks and the ability to establish governance structures and policies.
  • Acquire skills in Data Architecture, including understanding how data is structured within systems.
  • Develop expertise in Data Modeling and Design to create effective and efficient data structures.
  • Learn about Data Storage and Operations, including database technologies and data operations management.
  • Understand Data Security principles to ensure the confidentiality, integrity, and availability of data.
  • Gain proficiency in Data Integration techniques for combining data from different sources and providing a unified view.
  • Explore Document and Content Management to effectively manage an organization's information assets.
  • Understand the importance of Reference and Master Data in maintaining consistency and accuracy across the enterprise.
  • Dive into Data Warehousing and Business Intelligence (DW/BI) to support decision-making processes with accurate data.
  • Learn about Metadata Management and its role in understanding data context and lineage.
  • Enhance knowledge of Data Quality management, including methods for measuring, improving, and maintaining high data quality.
  • Explore the impact of Big Data and Data Science on traditional data management practices.
  • Assess Data Management Maturity within an organization and understand how to implement improvements.
  • Identify the roles and responsibilities within a Data Management organization and set expectations accordingly.
  • Understand the role of Data Management in Organizational Change Management to drive data-centric cultural shifts.

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