Normalization is important for making sure university databases work well, especially when it comes to finding information quickly.

When a database is normalized, it means that data is properly arranged into connected tables. This setup helps cut down on repeated information. Because of this, certain types of queries can be quicker. For instance, if you need to pull out data from well-organized tables, the database can easily connect related tables. It does this using keys that help it find the right information fast. This organization can help reduce the need for the database to use the hard drive a lot, making complex queries faster to complete.

However, too much normalization can cause problems. When a query needs to look at many tables together, it can slow things down, especially with large amounts of data. If the way tables are joined isn't well thought out, it can take much longer to get results. This happens because the database has to combine information from different tables instead of just getting it all from one place.

To find a good balance between normalization and performance, you can:

• Think About Denormalization: For systems that often read data, choosing to keep some tables less organized can help make frequently run queries faster.
• Use Indexing: Adding the right indexes can help improve how fast tables connect to each other.
• Optimize Queries: Regularly check and improve your queries to make them more efficient.

By following these tips, university database systems can maintain high-quality data organization while also keeping their query performance strong.