CERTIFIED DATA MANAGEMENT PROFESSIONAL (CDMP)

Available Dates & Locations

Dates

November 17, 2025

–

November 21, 2025

Location

Dubai

Duration

5 Days

Venue

09:00 am – 03:30 pm (Dubai)

Language

Fees

$5,450.00

Dates

November 17, 2025

–

November 21, 2025

Location

Virtual Live

Duration

5 Days

Venue

09:00 am – 03:30 pm (Dubai)

Language

Fees

$3,850.00

COURSE OVERVIEW

The Certified Data Management Professional (CDMP) credential is awarded to those who qualify based on a combination of criteria including education, experience, and test-based examination of professional level knowledge. This credential is offered at the Mastery or Practitioner level. To maintain certified status and continued use of the credential, an annual re-certification fee along with a 3-year cycle of continuing education and professional activity is required. The Data Management Association International (DAMA) authorizes the Certified Data Management Professional certification program and granting of the CDMP designation in partnership with the Institute for Certification of Computing Professionals (ICCP), which administers testing and re-certification. This document outlines the requirements for obtaining the CDMP.

COURSE OBJECTIVES

By completely attending this course, participants will be able to:

Apply key concepts of Data Management in the organization.
Recommend data security.
Manage data quality.
Manage data for organizational change.
Design data model.

TARGET COMPETENCIES

Data Management Essential Concepts
Data Management Framework
Data Handling
Data Governance
Data Architecture
Data Modeling and Design
Data Storage and Operation
Data Security
Data Integration and Interoperability
Document And Content Management
Data Warehouse and Business Intelligence
Metadata Management
Data Quality
Big Data and Data Science
Data Management Maturity
Data Management and Organization Chance Management

This course is designed for Data Professional Work Experience who has minimum of 2 years’ experience in data management, for those who want to recertify, and professionals who are looking for continuing education in Data Management domain.

This course is an instructor led, participant will be required to complete exercises, case studies individually and in groups.

INTRODUCTION

Business Drivers.
Goals.

ESSENTIAL CONCEPTS

Data and Information.
Data as an Organizational Asset.
Data Management Principles.
Data Management Challenges.
Data Management Strategy.

DATA MANAGEMENT FRAMEWORKS

3.1 Strategic Alignment Model.
The Amsterdam Information Model.
The DAMA-DMBOK Framework.
DMBOK Pyramid (Aiken).
DAMA Data Management.

DATA HANDLING

Introduction.
Business Drivers.
Essential Concepts.
- Ethical Principles for Data.
- Principles Behind Data Privacy Law.
- Online Data in an Ethical Context.
Risks of Unethical Data Handling.

DATA GOVERNANCE

Introduction to Data Governance.
Activities.
Tools and Techniques.
Implementation Guidelines.
Metrics.
Works Cited.

DATA ARCHITECTURE

Introduction to Data Architecture.
Activities.
Tools.
Techniques.
Implementation Guidelines.
Data Architecture Governance.
Works Cited.

DATA MODELING AND DESIGN

Introduction to Data Modeling.
Activities.
Tools.
Best Practices.
Data Model Governance.
Works Cited.

DATA STORAGE AND OPERATIONS

Introduction to Data Modeling.
Activities.
Tools.
Techniques.
Implementation Guidelines.
Data Storage Operation Governance.
Works Cited.

DATA SECURITY

Introduction to Data Security.
Activities.
Tools.
Techniques.
Implementation Guidelines.
Data Security Governance.
Works Cited.

DATA INTEGRATION AND INTEROPERABILITY

Introduction to Data Integration.
Data Integration Activities.
Tools.
Techniques.
Implementation Guidelines.
DDI Governance.