Oct
Dates
Oct 12 - 16, 2026
Fee
$5,450.00
Reserve Your Place
Data Analytics
CERTIFIED DATA MANAGEMENT PROFESSIONAL (CDMP)
Duration5 Days
FormatPublic · Virtual-Live
LanguageEN
Available Dates & Locations
Oct
Dates
Oct 12 - 16, 2026
Fee
$3,850.00
Reserve Your Place
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.
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.
Key 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
Course Outline
1
INTRODUCTION
- Business Drivers.
- Goals.
2
ESSENTIAL CONCEPTS
- Data and Information.
- Data as an Organizational Asset.
- Data Management Principles.
- Data Management Challenges.
- Data Management Strategy.
3
DATA MANAGEMENT FRAMEWORKS
- 3.1 Strategic Alignment Model.
- The Amsterdam Information Model.
- The DAMA-DMBOK Framework.
- DMBOK Pyramid (Aiken).
- DAMA Data Management.
4
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.
5
DATA GOVERNANCE
- Introduction to Data Governance.
- Activities.
- Tools and Techniques.
- Implementation Guidelines.
- Metrics.
- Works Cited.
6
DATA ARCHITECTURE
- Introduction to Data Architecture.
- Activities.
- Tools.
- Techniques.
- Implementation Guidelines.
- Data Architecture Governance.
- Works Cited.
7
DATA MODELING AND DESIGN
- Introduction to Data Modeling.
- Activities.
- Tools.
- Best Practices.
- Data Model Governance.
- Works Cited.
8
DATA STORAGE AND OPERATIONS
- Introduction to Data Modeling.
- Activities.
- Tools.
- Techniques.
- Implementation Guidelines.
- Data Storage Operation Governance.
- Works Cited.
9
DATA SECURITY
- Introduction to Data Security.
- Activities.
- Tools.
- Techniques.
- Implementation Guidelines.
- Data Security Governance.
- Works Cited.
10
DATA INTEGRATION AND INTEROPERABILITY
- Introduction to Data Integration.
- Data Integration Activities.
- Tools.
- Techniques.
- Implementation Guidelines.
- DDI Governance.
Outline and competencies are indicative; the final agenda is tailored and confirmed with VIFM.
Who Should Attend
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.
Methodology
This course is an instructor led, participant will be required to complete exercises, case studies individually and in groups.
Interested in this programme?
Reserve your place and our learning advisor will contact you.