Fondamentaux du Data Management (E-Learning)

Objectifs pédagogiques

• Discover and understand the key concepts set out in the DMBOK v2
• Position yourself in relation to the reference framework
• Have the necessary reading keys to set up, manage and evaluate a data management system
• Provide the necessary knowledge to pass the Associate level of the CDMP® certification

Contenu de la formation

• Introduction to Data Management and DMBOK
• Basic concepts: issues around data, issues around data management & governance
• Data vs information
• Introduction to DMBOK 2: structure, fundamental concepts, presentations of major functions, functional framework (“wheel” of DAMA), environmental factors (“hexagon” of DAMA)
• Governance, Ethics and Security
• Data governance: rationale, definition, description, link with other concepts (Data management, IS management, Quality management, Metadata management), guiding principles and policies, operational model, role model, comitology
• Ethics: definition, model of socially responsible ethical risk
• Data security: essential concepts, key activities (security requirements, policies, standards, risk management, compliance management)
• Storage, Operations, Metadata, Data Modeling
• Data storage: essential concepts (database architecture, ACID vs. BASE properties, etc.), key activities, focus on data storage technologies
• Metadata: fundamental concepts, glossary, dictionary and lineage, deployment process
• Data modeling: diagrams, modeling levels & modeling approaches, link with other areas of data management
• Quality, Integration, BI & Big Data
• Data quality: Issues and objectives, quality dimensions, activities and action plan
• Integration and interoperability: essential concepts, history of data integration in companies, main patterns, integration solutions, link with data governance
• Business Intelligence: essential concepts (data warehouse and business intelligence), current trends, classic architectures vs modern architectures
• Big Data: history, essential concepts, architecture and solutions
• Data Architecture, Master & Reference Data, Document and Content Management
• Data architecture: essential concepts, key activities, link with architecture frameworks (TOGAF) and with enterprise architecture
• Master & Reference Data: essential concepts (master data, reference data), key activities (evaluation of the opportunity, architectural approaches, activities related to data governance), tools
• Document and content management: essential concepts (ontology, classification, etc.), key activities, architecture and solutions
• Preparation certification CDMP
• Mock exams

Suivi de l'exécution et évaluation des résultats

• Written questions (MCQ)
• Training evaluation questionnaire