Another best practice is to use query optimization techniques such as analyzing query plans and using EXPLAIN statements to identify bottlenecks and optimize the execution path. Additionally, properly structuring and organizing the database schema, including normalization and denormalization techniques, can also contribute to query optimization. Lastly, regularly monitoring and tuning the database server's resources, such as memory allocation and disk I/O, can further enhance performance.

One best practice for optimizing SQL queries is to limit the number of columns in the SELECT statement to only the ones needed for the application. This reduces the amount of data that needs to be fetched and processed, improving query performance. Another best practice is to use indexes effectively. By identifying the columns frequently used in WHERE or JOIN clauses and creating appropriate indexes, you can significantly speed up query execution. Additionally, using appropriate data types and avoiding unnecessary functions or calculations within the query can also help improve performance.