In which cases is it advisable to use denormalization in a database structure?

Denormalization in a database is used to improve performance by reducing the number of joins between tables. This is advisable when:

• Complex queries that require joining many tables are frequently executed.
• Read speed is more important than update frequency.
• The system mainly reads data rather than writes.
• Some data redundancy is acceptable to speed up access.

For example, in analytical systems or systems with a large number of reports, denormalization helps accelerate queries at the expense of redundancy and update complexity.