Schedules Introduction Objectives Training Methodology Organisational Impact Personal Impact Who Should Attend? Outline

Home / Data Management & Analytics / Data Management Body of Knowledge (DMBoK) and Certified Data Management Professional (CDMP) Exam Preparation

Course Schedule

Classroom Sessions:

Date	Venue	Fees
16 - 20 Jun 2025	London - UK	$5,950

Course Description

INTRODUCTION

This training course provides a comprehensive foundation in data management, focusing on the Data Management Body of Knowledge (DMBoK) and preparing participants for the Certified Data Management Professional (CDMP) certification. With data being a strategic asset, mastering its management is essential for any organization. This training course equips professionals with the knowledge and tools needed to excel in various data management disciplines and achieve industry-recognized certification.

The DMBoK and CDMP Preparation: Data Management Fundamentals training course offers an in-depth review of critical data management practices, helping participants build expertise across governance, quality, integration, and more. During the sessions, participants will explore the DMBoK framework, understand core concepts, and gain insights into passing the CDMP Data Management Fundamentals examination. It covers data governance, quality, modeling, architecture, security, integration, operations, and emerging data management tools. This training course is ideal for data professionals, IT, and business leaders seeking to elevate their data management capabilities.

This GLOMACS training course will highlight:

Comprehensive coverage of DMBoK framework
CDMP exam preparation and certification guidance
Key data governance and quality management practices
Master and reference data management essentials
Emerging trends in data management and analytics

Objectives

At the end of this training course, you will learn to:

Understand and apply key data management concepts from DMBoK framework
Develop strategies for effective data governance and quality management
Analyze and improve data architecture, modeling, and integration processes
Prepare for the CDMP Data Management Fundamentals exam
Identify emerging trends and tools in data management and analytics

Training Methodology

This training course uses an interactive and practical approach, combining expert-led presentations, group discussions, and real-world case studies. Hands-on exercises and mock exam questions help reinforce key concepts and prepare participants for the CDMP certification exam. Collaborative learning and experience sharing enable participants to apply best practices in their roles. The training course also includes continuous feedback and ongoing evaluations to ensure clarity and effective knowledge transfer.

Organisational Impact

The Organisation will have the following benefits:

Improved data governance and compliance practices
Enhanced data quality and accuracy management
Increased efficiency in data-driven decision-making
Standardized data management processes and frameworks
Better risk management and data security protocols
Stronger foundation for business intelligence and analytics

Personal Impact

At the end of this training course, the participants will gain the following:

Comprehensive understanding of data management principles
Preparation for the CDMP Fundamentals certification exam
Enhanced skills in data governance and quality
Improved data modeling and integration techniques
Knowledge of emerging data management trends
Increased career opportunities in data management

WHO SHOULD ATTEND?

This training course is suitable for professionals involved in data management, governance, analytics, or related fields. It will also benefit those preparing for the CDMP certification to enhance their expertise.

This GLOMACS training course is suitable to a wide range of professionals but will greatly benefit:

Data managers, analysts, and professionals in IT
Business intelligence and data governance specialists
Data architects and database administrators
Risk, compliance, and data security professionals
Project managers involved in data initiatives

Course Outline

DAY 1

Introduction to Data Management and Data Governance

Overview of Data Management and its key drivers
Understanding the DMBoK framework and its disciplines
Introduction to DAMA CDMP certification and exam structure
Data Governance principles and best practices
Roles, responsibilities, and organizational models for Data Governance
Data ethics and data sampling considerations
Establishing and managing a Data Governance Office

DAY 2

Data Quality Management and Master Data Management

Key facets and dimensions of Data Quality
Policies and metrics for improving Data Quality
Tools and techniques for Data Quality Management
Differences between master and reference data
Master Data Management architectures and implementation strategies
Assessing Master Data Management maturity
Relationship between Data Governance, Data Quality, and Master Data Management

DAY 3

Data Warehousing, BI, and Data Modeling

Introduction to data warehousing and its role in organizations
Major data warehouse architectures: Inmon vs. Kimball
Dimensional Data Modeling concepts and practices
Business Intelligence (BI) and analytics solutions overview
Types of analytics and visualization techniques
Data Modeling as a key element of Data Governance

DAY 4

Metadata Management and Data Integration

Understanding metadata and its importance
Types, sources, and uses of metadata
Metadata repositories and business user access
Data integration vs. data interoperability concepts
Business and technology issues in data integration
Guidelines for planning and providing data integration

DAY 5

Data Architecture, Lifecycle Management, and Data Security

Types of data architecture and enterprise approaches
Managing data across its entire lifecycle
Differences between data lifecycle and SDLC
Proactive data lifecycle planning and data value chain considerations
Identifying and mitigating data risks
Data security, privacy, and compliance frameworks
Threat categories and defense mechanisms for data protection
Adapting to evolving legal and regulatory requirements

Certificates

On successful completion of this training course, GLOMACS Certificate will be awarded to the delegates
Continuing Professional Education credits (CPE) : In accordance with the standards of the National Registry of CPE Sponsor, one CPE credit is granted per 50 minutes of attendance

Providers and Associations

Endorsed Education Provider

GLOMACS is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.NASBARegistry.org

In Association With

Oxford Management Centre

A GLOMACS - Oxford Management Centre collaboration aimed at providing the best training services and benefits to our valued clients.

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Options & Brochure

Related Categories

Data Management & Analytics

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An Interactive 5-Day Training Course

Data Management Body of Knowledge (DMBoK) and
Certified Data Management Professional (CDMP) Exam Preparation

Professional Certification on Data Management Fundamentals