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Certified Data Management Professional (CDMP) – Practitioner
The Certified Data Management Professional (CDMP) – Practitioner training enables professionals to acquire advanced knowledge in Data Management, based on international standards defined in the DAMA-DMBOK framework. It covers key areas such as Data Governance, Data Architecture, Data Modeling, Data Quality Management, Metadata Management, Master Data Management, and Data Security, as well as advanced techniques to leverage and extract value from data in complex organizational environments. This training is designed for professionals looking to enhance their skills and apply advanced Data Management practices in their organizations.
- Reference : 1522
- Duration : 3 Days
- Visitors : 132
About The Course Certified Data Management Professional (CDMP) – Practitioner
Certified Data Management Professional (CDMP) – Practitioner
In today’s environment, where data is a strategic asset, organizations require professionals capable of implementing advanced Data Management practices to improve governance, quality, integration, and security of data.
The CDMP – Practitioner certification, issued by DAMA International, validates advanced expertise in applying DAMA-DMBOK standards, allowing participants to manage data efficiently at both strategic and operational levels.
The CDMP Practitioner training helps participants develop advanced skills to:
Implement and lead an advanced Data Governance Framework
Design and optimize complex data architectures
Ensure data quality, reliability, and consistency
Deploy effective Master Data Management (MDM) solutions
Efficiently manage metadata and data catalogs
Strengthen data security and regulatory compliance
Integrate best Data Management practices into strategic and operational projects
Who Should Attend This Course?
This training is designed for professionals looking to develop advanced skills in Data Management. It is particularly suitable for:
Data Managers and Data Stewards
Data Architects and enterprise architecture leads
Consultants in Data Governance or Data Strategy
IT professionals and system administrators working with complex data environments
Anyone seeking to gain advanced expertise in data management, governance, and security
Course Program
Day 1: Advanced Data Management Fundamentals
Review of DAMA-DMBOK and advanced Data Management domains
Advanced data governance: Data Governance Operating Model, policies, standards, KPIs
Strategic roles and responsibilities: Data Owner, Data Steward, Data Custodian, Data Governance Committee
Aligning governance with business strategy
Advanced data architecture: Enterprise Data Architecture, Data Integration Architecture
Management of complex data flows (Data Flows, Data Pipelines, ETL/ELT)
Introduction to Big Data and Cloud Data Architectures
Day 2: Modeling, Quality, and Master Data Management
Advanced Data Modeling: conceptual, logical, physical models, normalization, denormalization
Multidimensional and analytical modeling (Star Schema, Snowflake Schema, Data Vault)
Data Quality Management: profiling, assessment, cleansing, standardization
Advanced Data Quality Metrics and KPIs
Master Data Management (MDM): concepts, architecture, and implementation
Metadata management: Business Metadata, Technical Metadata, Operational Metadata
Advanced Data Catalogs and Data Lineage
Day 3: Data Security and Advanced Data Lifecycle
Advanced Data Security Management: RBAC, data masking, encryption, tokenization
Regulatory compliance and data protection (GDPR, ISO standards)
Data Lifecycle Management: full lifecycle management
Integration strategies and system interoperability
Introduction to modern architectures: Data Lake, Data Mesh, Data Fabric
Practical application and knowledge integration for advanced organizational data management
Why Choose Our Course?
The CDMP Practitioner training allows participants to acquire advanced expertise in Data Management and apply international best practices from the DAMA-DMBOK framework to strategic and operational projects.
By attending this training, you will be able to:
Deploy advanced Data Governance strategies
Design and manage complex data architectures
Ensure data quality, consistency, and reliability
Implement effective Master Data Management (MDM)
Strengthen data security and compliance
Lead data integration and optimization across business processes
Develop in-demand skills in advanced Data Management, Data Governance, and Data Architecture
Frequently Asked Questions (FAQ)
No mandatory prerequisites, but general knowledge of information systems and basic Data Management concepts is strongly recommended.
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