Certified Data Management Professional (CDMP) Training Course

224 Lessons

40 hours

kodestree offers the best Certified Data Management Professional (CDMP) training online worldwide. This comprehensive program is designed around the DAMA-DMBOK framework and covers all key areas of modern data management, including data governance, data architecture, data modeling and design, metadata management, data quality, data warehousing and business intelligence, big data, and more. Each module is crafted by industry experts to mirror real-world data management practices and prepare you for the CDMP certification exams. Enroll in the CDMP training today to build in-demand skills, validate your expertise with global certification, and accelerate your career as a data management professional.

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Certified Data Management Professional (CDMP) Training Course

About Course

Prerequisites

General Knowledge of IT and Data Management
Interest in Data Management Career
Language Proficiency (English)
Data Management Fundamentals (DMF) Exam
Specialist Exams (for Practitioner, Master, Fellow)
Industry Experience (varies by level: Associate, Practitioner, Master, Fellow)

What will you learn

Data Management
Data Handling Ethics
Data Governance
Data Architecture
Data Modeling and Design
Data Storage and Operations
Data Security
Data Integration and Interoperability
Document and Content Management
Reference and Master Data
Data Warehousing and Business Intelligence
Metadata Management
Data Quality
Big Data and Data Science
Data Management Maturity Assessment
Data Management Organization and Role Expectations
Data Management and Organizational Change Management

Course Curriculum

Course Content

Lesson 1 – Data Management

Introduction
Business Drivers
Goals
Essential Concepts
Data
Data and Information
Data as an Organizational Asset
Data Management Principles
Data Management Challenges
Data Differs from Other Assets
Data Valuation
Data Quality
Planning for Better Data
Metadata and Data Management
Data Management is Cross-functional
Establishing an Enterprise Perspective
Accounting for Other Perspectives
The Data Lifecycle
Different Types of Data
Data and Risk
Data Management and Technology
Effective Data Management Requires Leadership and Commitment
Data Management Strategy
Data Management Frameworks
Strategic Alignment Model
The Amsterdam Information Model
The DAMA-DMBOK Framework
Knowledge Area Context Diagram
DMBOK Pyramid (Aiken)
DAMA Data Management Framework Evolved
DAMA and the DMBOK

Lesson 2 – Data Handling Ethics

Lesson 3 – Data Governance

Introduction
Business Drivers
Goals and Principles
Essential Concepts
Activities
Define Data Governance for the Organization
Perform Readiness Assessment
Perform Discovery and Business Alignment
Develop Organizational Touch Points
Develop Data Governance Strategy
Define the DG Operating Framework
Develop Goals, Principles, and Policies
Underwrite Data Management Projects
Engage Change Management
Engage in Issue Management
Assess Regulatory Compliance Requirements
Implement Data Governance
Sponsor Data Standards and Procedures
Develop a Business Glossary
Coordinate with Architecture Groups
Sponsor Data Asset Valuation
Embed Data Governance
Tools and Techniques
Online Presence / Websites
Business Glossary
Workflow Tools
Document Management Tools
Data Governance Scorecards
Implementation Guidelines
Organization and Culture
Adjustment and Communication
Metrics

Lesson 4 – Data Architecture

Introduction
Business Drivers
Data Architecture Outcomes and Practices
Essential Concepts
Activities
Establish Data Architecture Practice
Integrate with Enterprise Architecture
Tools
Data Modeling Tools
Asset Management Software
Graphical Design Applications
Techniques
Lifecycle Projections
Diagramming Clarity
Implementation Guidelines
Readiness Assessment / Risk Assessment
Organization and Cultural Change
Data Architecture Governance
Metrics

Lesson 5 – Data Modeling and Design

Introduction
Business Drivers
Goals and Principles
Essential Concepts
Activities
Plan for Data Modeling
Build the Data Model
Review the Data Models
Maintain the Data Models
Tools
Data Modeling Tools
Lineage Tools
Data Profiling Tools
Metadata Repositories
Data Model Patterns
Industry Data Models
Best Practices
Best Practices in Naming Conventions
Best Practices in Database Design
Data Model Governance
Data Model and Design Quality Management
Data Modeling Metrics

Lesson 6 – Data Storage and Operations

Introduction
Business Drivers
Goals and Principles
Essential Concepts
Activities
Manage Database Technology
Manage Databases
Tools
Data Modeling Tools
Database Monitoring Tools
Database Management Tools
Developer Support Tools
Techniques
Test in Lower Environments
Physical Naming Standards
Script Usage for All Changes
Implementation Guidelines
Readiness Assessment / Risk Assessment
Organization and Cultural Change
Data Storage and Operations Governance
Metrics
Information Asset Tracking
Data Audits and Data Validation

Lesson 7 – Data Security

Introduction
Business Drivers
Goals and Principles
Essential Concepts
Activities
Identify Data Security Requirements
Define Data Security Policy
Define Data Security Standards
Tools
Anti-Virus Software / Security Software
HTTPS
Identity Management Technology
Intrusion Detection and Prevention Software
Firewalls (Prevention)
Metadata Tracking
Data Masking/Encryption
Techniques
CRUD Matrix Usage
Immediate Security Patch Deployment
Data Security Attributes in Metadata
Metrics
Security Needs in Project Requirements
Efficient Search of Encrypted Data
Document Sanitization
Implementation Guidelines
Readiness Assessment / Risk Assessment
Organization and Cultural Change
Visibility into User Data Entitlement
Data Security in an Outsourced World
Data Security in Cloud Environments
Data Security Governance
Data Security and Enterprise Architecture

Lesson 8 – Data Integration and Interoperability

Introduction
Business Drivers
Goals and Principles
Essential Concepts
Data Integration Activities
Plan and Analyze
Design Data Integration Solutions , Develop Data Integration Solutions, Implement and Monitor, Tools
Data Transformation Engine/ETL Tool, Data Virtualization Server, Enterprise Service Bus, Business Rules Engine
Data and Process Modeling Tools, Data Profiling Tool, Metadata Repository, Techniques, Implementation Guidelines
Readiness Assessment / Risk Assessment, Organization and Cultural Change, DII Governance
Data Sharing Agreements, DII and Data Lineage, Data Integration Metrics

Lesson 9 – Document and Content Management

Lesson 10 – Reference and Master Data

Lesson 11 – Data Warehousing and Business Intelligence

Lesson 12 – Metadata Management

Lesson 13 – Data Quality

Lesson 14 – Big Data and Data Science

Lesson 15 – Data Management Maturity Assessment

Lesson 16 – Data Management Organization and Role Expectations

Lesson 17 – Data Management and Organizational Change Management

Introduction, Laws of Change, Not Managing a Change: Managing a Transition, Kotter’s Eight Errors of Change Management
Error #1: Allowing Too Much Complacency, Error #2: Failing to Create a Sufficiently Powerful Guiding Coalition, Error #3: Underestimating the Power of Vision, Error #4: Under Communicating the Vision by a Factor of 10, 100, or 1000
Error #5: Permitting Obstacles to Block the Vision, Error #6: Failing to Create Short-Term Wins, Error #7: Declaring Victory Too Soon, Error # 8: Neglecting to Anchor Changes Firmly in the Corporate Culture
Kotter’s Eight Stage Process for Major Change, Establishing a Sense of Urgency, The Guiding Coalition, Developing a Vision and Strategy, Communicating the Change Vision
The Formula for Change, Diffusion of Innovations and Sustaining Change, The Challenges to be Overcome as Innovations Spread, Key Elements in the Diffusion of Innovation, The Five Stages of Adoption
Factors Affecting Acceptance or Rejection of an Innovation or Change, Sustaining Change, Sense of Urgency / Dissatisfaction, Framing the Vision, The Guiding Coalition
Relative Advantage and Observability, Communicating Data Management Value, Communications Principles, Audience Evaluation and Preparation, The Human Element, Communication Plan, Keep Communicating

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Self Paced Learning

₹23,940.00

✓ Refund Policy

Duration: 40 hrs
224 Lessons & Practical Labs
Lifetime Full Access & Free Upgrades
Downloadable Study Materials & Code Labs
Recognized Certification of Completion
24x7 Online Support & Learner Forum

Placement Partners

Want to know Today's Offer

Certified Data Management Professional (CDMP) Training Course Certification Exam

Upon completing the Certified Data Management Professional (CDMP) Training Course, you will receive a globally recognized certification that validates your expertise in professional skills and industry best practices. This certification is a testament to your practical knowledge, hands-on skills, and professional readiness.

The Technology certification exam assesses your ability to apply real-world concepts, tools, and techniques learned during the course. Certified professionals are in high demand across industries, opening doors to exciting career opportunities and higher salary potential.

Our certification is recognized by top employers and organizations worldwide. Whether you are looking to advance your current career, switch to a new role, or demonstrate your expertise to clients, this certification gives you the competitive edge you need in today’s fast-paced technology landscape.

Frequently Asked Questions

The Certified Data Management Professional (CDMP) Training Course is designed to provide comprehensive, in-depth training in Certified Data Management Professional (CDMP). Prerequisites General Knowledge of IT and Data Management Interest in Data Management Career Language Proficiency (English) Data Management Fundamentals (DMF) Exam Specialist Exams (for Practitioner, Master, Fellow) Industry Experience (varies by level: Associate, Practitioner, Master, Fellow) What will you learn Data Management Data Handling Ethics Data Governance Data Architecture Data Modeling and Design Data Storage and Operations Data Security Data Integration and Interoperability Document and Content Management Reference and Master Data Data Warehousing and Business Intelligence Metadata Management Data Quality Big Data and Data Science Data Management Maturity Assessment Data Management Organization and Role Expectations Data Management and Organizational Change Management The program covers foundational concepts through to advanced techniques to ensure you gain job-ready expertise.

This course is ideal for beginners, IT enthusiasts, and working professionals who want to build or advance their career in Certified Data Management Professional (CDMP) and qualify for specialist positions. There are no stringent prerequisites—basic computer proficiency and a willingness to learn are all that is required. Foundational topics are thoroughly covered during onboarding.

The course is delivered through interactive, live online sessions led by industry experts. You will also have 24/7 access to LMS resources, study materials, and session recordings so you can catch up or revise at your convenience if you miss any live classes.

Yes, hands-on learning is a core component of this course. You will work on practical assignments, real-life use cases, and capstone projects using Certified Data Management Professional (CDMP) tools and best practices, helping you build a portfolio to showcase to hiring managers.

Upon successfully finishing the course and assignments, you will receive a Certificate of Completion from Kodestree. In addition, our mentors will provide targeted guidance and practice tests to help you clear globally recognized Certified Data Management Professional (CDMP) certification exams, accompanied by dedicated placement support including resume review and interview preparation.

Contact Us Worldwide

Call:
+91 7204614489

WhatsApp:
+91 7204614489

Email:
admissions@kodestree.com

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The trainers explained concepts through real-world attack scenarios, which I was able to apply on the job right after the course. Structured curriculum and hands-on labs were the best part.

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Cyber Security Course

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After the CSM training, I can confidently facilitate Sprint ceremonies. The trainer's practical approach and real project examples were extremely helpful.

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Agile concepts were explained clearly, especially backlog management and team facilitation. A bit more time would have made it even better, but overall a solid course.

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Even as a beginner, I never felt lost — the step-by-step labs and doubt-clearing sessions made switching careers so much easier.

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Agile Coach

Certified ScrumMaster (CSM)

Certified Data Management Professional (CDMP) Training Course

About Course

Prerequisites

What will you learn

Course Curriculum

Course Content

Lesson 1 – Data Management

Introduction

Business Drivers

Goals

Essential Concepts

Data

Data and Information

Data as an Organizational Asset

Data Management Principles

Data Management Challenges

Data Differs from Other Assets

Data Valuation

Data Quality

Planning for Better Data

Metadata and Data Management

Data Management is Cross-functional

Establishing an Enterprise Perspective

Accounting for Other Perspectives

The Data Lifecycle

Different Types of Data

Data and Risk

Data Management and Technology

Effective Data Management Requires Leadership and Commitment

Data Management Strategy

Data Management Frameworks

Strategic Alignment Model

The Amsterdam Information Model

The DAMA-DMBOK Framework

Knowledge Area Context Diagram

DMBOK Pyramid (Aiken)

DAMA Data Management Framework Evolved

DAMA and the DMBOK

Lesson 2 – Data Handling Ethics

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 Practices

Establishing an Ethical Data Culture

Data Ethics and Governance

Lesson 3 – Data Governance

Introduction

Business Drivers

Goals and Principles

Essential Concepts

Activities

Define Data Governance for the Organization

Perform Readiness Assessment

Perform Discovery and Business Alignment

Develop Organizational Touch Points

Develop Data Governance Strategy

Define the DG Operating Framework

Develop Goals, Principles, and Policies

Underwrite Data Management Projects

Engage Change Management

Engage in Issue Management

Assess Regulatory Compliance Requirements

Implement Data Governance

Sponsor Data Standards and Procedures

Develop a Business Glossary

Coordinate with Architecture Groups

Sponsor Data Asset Valuation

Embed Data Governance

Tools and Techniques

Online Presence / Websites

Business Glossary

Workflow Tools

Document Management Tools

Data Governance Scorecards

Implementation Guidelines

Organization and Culture

Adjustment and Communication