When might denormalization be beneficial in database design?
- To enforce data integrity constraints
- To improve read performance in a data warehouse
- To reduce redundancy and storage space
- To simplify complex queries
Denormalization can be beneficial in database design when there is a need to improve read performance in a data warehouse scenario. It involves strategically introducing redundancy to streamline query processing and retrieval of large datasets.
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