Course details

Overview ?

Why Attend

Effective data management is crucial for organizations to ensure data accuracy, consistency, and accessibility, as well as comply with legal and regulatory requirements. It helps organizations make informed decisions, improves operational efficiency, and enhances customer satisfaction.

The Data Management Professional (CDMP) course is designed to provide participants with a fundamental understanding of all the Knowledge Areas of the DAMA Data Management Body of Knowledge (DMBoK). The course prepares participants to sit for the CDMP Data Management Fundamentals examination (core exam), and it has been designed to help participants to work through the DMBoK in a workshop environment. The course explains the essential concepts, context diagrams, activities, deliverables, and roles for all the Knowledge Areas of the DAMA Wheel.

Course Methodology

This is an interactive course with facilitator led presentations, exercises, and group work. Participants will be provided with a hard or soft copy of the DAMA DMBoK, study notes, mind maps, practice quizzes and the opportunity to join a study group.

Course Objectives

By the end of the course, participants will be able to:

Understand the fundamentals of Data Management according to the DAMA Data Management Body of Knowledge (DMBoK Version 2)
Understand all elements of the DMBoK areas, including: Goals and Principles, Organization and Culture, Activities, Deliverables, Practices and Techniques, Technology, and Roles and Responsibilities
Prepare for the CDMP Data Management Fundamentals examination

Target Audience

This course is suitable for those looking to obtain a certification in Data Management at any level.

Target Competencies

Data Management
Data Governance
Document Management
Big Data

Outline

Introduction to Data Management
- Data Management
- Data Governance
- Data Quality
- Data Maturity Assessment
- Data Organizational Roles
- Data Change Management
Advanced Data Management
- Data Architecture
- Data Modelling and Design
- Metadata Management
- Document and Content Management
Big Data
- Data Integration
- Reference and Master Data
- Data Warehousing and Business Intelligence
- Big Data and Data Science

Ethics and Security
- Data Handling Ethics
- Data Storage and Operations
- Data Security
Preparing for the CDMP Exam
- Exam techniques
- Exam revision
- Post course study