How does denormalization differ from normalization, and when is it appropriate to use?

  • Enhances data integrity
  • Increases redundancy for faster read operations
  • Maintains data consistency
  • Reduces redundancy for efficient storage
Denormalization involves combining tables to reduce joins for faster read operations at the expense of increased redundancy. It is appropriate in read-heavy applications where performance is critical.
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