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| Section | Weight | Objectives |
|---|---|---|
| Conceptual Data Modelling | 20% | - Normalization principles - Entity types, attributes, relationships - Business rules and constraints - Conceptual schema design |
| Physical Data Modelling & Design | 20% | - Performance optimization - Storage and indexing strategies - Database-specific design - Mapping logical to physical structures - Partitioning and clustering |
| Modelling Standards, Governance & Quality | 15% | - Naming conventions and standards - Integration with architecture and governance - Data quality considerations in modelling - Model validation and review - Model documentation and maintenance |
| Logical Data Modelling | 25% | - Transformation from conceptual to logical - Data types and domains - Normalization and denormalization - Keys, constraints, indexes - Relationship implementation |
| Data Modelling Fundamentals | 20% | - Purpose and value of data modelling - Concepts, principles, and terminology - DMBOK2 framework alignment - Roles and responsibilities |
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