Just what features do normalization strategies that rely on functional dependencies have?
Just what features do normalization strategies that rely on functional dependencies have?
Normalization strategies that rely on functional dependencies have several key features, including:
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Identification of functional dependencies: The first step in these normalization strategies is to identify the functional dependencies that exist between the attributes in a database table. This involves analyzing the relationships between the attributes and determining which attributes are functionally dependent on others.
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Removal of partial dependencies: Once the functional dependencies have been identified, the next step is to remove any partial dependencies that exist. Partial dependencies occur when only a subset of the attributes in a table determine another attribute. By removing these partial dependencies, the table is split into smaller, more manageable tables that are less prone to data anomalies.
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Removal of transitive dependencies: After partial dependencies have been removed, the next step is to remove any transitive dependencies that exist. Transitive dependencies occur when an attribute is functionally dependent on another attribute through a third attribute. By removing these transitive dependencies, the table is further normalized into smaller, more atomic tables.
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Creation of new tables: As partial and transitive dependencies are removed, new tables are created to house the newly normalized data. These new tables are often linked together through foreign key constraints to maintain the relationships between the data.
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Improved data consistency: By normalizing the data in this way, the resulting tables are more consistent and less prone to data anomalies. This can improve the reliability and accuracy of the data stored in the database.
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