Web Reference: Jan 31, 2026 · Normalisation and denormalisation are used to alter the structure of a database. The key difference is that normalisation reduces redundancy by organising data into smaller, well-structured tables, while denormalisation intentionally introduces redundancy by merging tables to speed up query performance. Learn about the differences between and functions of database normalization and denormalization and their effects on performance, storage, data integrity, and redundancy. Oct 6, 2025 · Learn when and how to use denormalization in databases to boost read performance. Understand its trade-offs, techniques, and best use cases in SQL.
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