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Week 4 - Normalisation

Melina Mackey Computer Science Inglés 7 fichas

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  1. 1Data normalisation- Systematic series of steps for progressively refining the data model
    - Formal approach to analysing relations based on their PK and functional dependencies
    - Helps avoid data anomalies and redundancy
  2. 2Types of dependencies- Full dependency - attribute is dependent on all attributes in the composite PK
    - Partial dependency - attribute is dependent on only a subset of the PK
    - Transitive dependency - attribute is dependent on another attribute that is not part of the PK
    - Total dependency => attribute A determines B and attribute B determines A
  3. 3Unnormalised form (UNF)- Raw representation mapped from inspection of the form
    - Single named representation
    - No PK has been identified
  4. 4First normal form (1NF)- Identify PK (unique for each row)
    - All attributes are functionally dependent on all or part of PK
    - Valid relation => entity integrity, no repeating groups (multivalued attributes)
    - Partial dependencies are noted in diagram
  5. 5Second normal form (2NF)- All non-key attributes are fully functionally dependent on any CK (no partial dependencies)
    - Transitive dependencies are noted in diagram
  6. 6Third normal form (3NF)- No non-key attributes are dependent on another non-key attribute (no transitive dependencies)
    - All dependencies are noted in diagram
  7. 7Attribute synthesis- Join together relations, which have an identical PK
    - Ensure attribute names are consistent

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(FIT2094: Databases) Computer Science Fichas sobre Week 4 - Normalisation, creado por Melina Mackey el 01/11/2020.
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Melina Mackey
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  • Creado por Melina Mackey · 19 oct 2020
  • Copiado por Melina Mackey · 25 oct 2020
  • Copiado por Melina Mackey · 1 nov 2020
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