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  1. Principles of data modelling
    • Entities
    • Attributes
    • Relationships
    • Keys
    • Entity descriptions
  2. Data relationships
    • Cardinality
    • Optionality
    • Exclusivity
    • Recursion
    • Naming relationships
    • Relationship descriptions
  3. Data modelling - further concepts
    • Attribute descriptions
    • Domain descriptions
    • Sub-types, super-types
    • Partitioning data models
    • Transferable and non-transferrable relationships
    • Entity aspects
  4. Relational data analysis
    • Relations
    • Primary and candidate keys
    • Third normal form analysis
  5. Drawing third normal form models
    • Rationalising the results of relational data analysis
    • Representing relations and keys
    • Rules for building the TNF model
    • Comparing the TNF model with the data model
  6. Validating the data model
    • Validating against requirements
    • Access paths
    • Entry points and input attributes
    • Navigation
    • Volumetrics
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