How does denormalization differ from normalization in data modeling?
- Combines multiple tables into one for simplicity
- Increases redundancy but ensures data consistency
- Reduces redundancy but may lead to data inconsistency
- Splits data into multiple tables for better storage
Denormalization increases redundancy by adding redundant data to improve query performance, while normalization reduces redundancy by organizing data into multiple related tables to ensure data consistency.
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