Fundamentals of Data Management Training

Introduction to Data Management and DMBOK 

• Basic concepts: issues surrounding data and data management
• Data vs information
• Introduction to DMBOK v2: Structure, Core Concepts and Key Definitions

Data governance, data security, metadata management, and data quality 

• Data governance: rationale, definition, description, link with other concepts (data management, information system management, data quality management, metadata management), guiding principles and policies, operational model, role model, comitology
• Data security: fundamental concepts, key activities (security requirements, policies, standards, risk management, compliance management)
• Metadata management: fundamental concepts, glossary, data dictionary and lineage, deployment approach
• Data quality management: issues and objectives, dimensions of data quality, activities and action plan

Integration and interoperability, data modeling, Business Intelligence, and Big Data 

• Integration and interoperability: fundamental concepts, history of data integration in business, main patterns, integration solutions
• Data modeling: schemas, modeling levels & modeling approaches,
• Business Intelligence: fundamental concepts, current trends, classic architectures vs. modern architectures
• Big Data: History, Fundamental Concepts, Architecture and Solutions

Data architecture, reference data, and content management. 

• Data architecture: fundamental concepts, key activities, link with enterprise architecture (TOGAF framework)
• Reference data: fundamental concepts (master data, reference data), key activities (opportunity assessment, architectural approaches), tools
• Content Management: fundamental concepts (ontology, classification, etc.), key activities, architecture and solutions

A quiz and discussion time are planned to meet the needs of participants at the end of each chapter.

Preparation for the certification exam :

• Presentation of the CDMP certification 
• Presentation and certification support 
• Mock exam 

All format combinations are possible, if you wish for training that is not presented in our price packages, do not hesitate to contact us directly so that we can offer you a custom package. 

All training sessions are adaptable to your needs. They can therefore be either in-person or remote according to your request. However, we do not conduct hybrid format training, so in-person inter-company training in our premises is not accessible remotely. 

The DMBOK is the Data Management Book Of Knowledge, one of the reference works on topics related to data management. It is published by the Data Management Association, DAMA, an international association of business and technical professionals dedicated to promoting the understanding, development, and use of best practices in data management.