Normalization minimizes redundancy via 3NF; denormalization intentionally duplicates data for read performance. Normalized: Separate tables, no redundancy, complex JOINs. Denormalized: Flattened tables, redundant data, simpler queries. Use denormalization when: (1) Read-heavy analytics—fewer JOINs, faster queries. (2) Star schema in data warehouses—facts + dimensions. (3) Caching/materialized views. (4) No strict consistency requirements. Trade-off: Update anomalies, storage cost....
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