Junior SQL

What is denormalization and when would you use it?

Denormalization is the process of intentionally introducing redundancy into a database by

merging tables or adding redundant data to reduce the complexity of database queries,

improve read performance, and simplify the schema.

  • When to use:
  • When read performance is more critical than data integrity and

normalization (e.g., in OLAP systems or reporting).

  • In cases where complex JOINs are causing performance bottlenecks.
  • In high-performance environments where frequently accessed data can be

stored redundantly to reduce query times.

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