In what scenarios would denormalization be preferred over normalization?
- When data integrity is the primary concern
- When data modification operations are frequent
- When storage space is limited
- When there's a need for improved read performance
Denormalization may be preferred over normalization when there's a need for improved read performance, such as in data warehousing or reporting scenarios, where complex queries are frequent and need to be executed efficiently.
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