In database design, denormalization is a deliberate strategy that introduces redundancy by merging tables or adding duplicate data. This optimization technique prioritizes faster read operations over write efficiency, reducing the need for costly joins. Ideal for high-traffic analytics, reporting, and read-heavy applications, it benefits data engineers and developers seeking enhanced query performance and simplified data retrieval.
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