Normalization is a way to organize databases so that they are simpler and cleaner. It helps reduce repetition of data and makes sure information is accurate. In designing a university database, normalization usually means breaking big tables into smaller and easier ones, while also explaining how they relate to each other. There are different steps in this process called normal forms, mainly the First (1NF), Second (2NF), and Third Normal Form (3NF).

Why Normalization is Important in Database Design:

1. Less Repetition:

   • Normalization can cut down on repeated data by a lot, sometimes up to 90%. This means each piece of information is stored only once.

2. Better Data Accuracy:

   • With normalization, issues when updating data are reduced. This can lead to a 50% drop in incorrect data entries, which is super important for keeping student and course records right.

3. Faster Searches:

   • Normalizing a database can make it quicker to find information. This can improve search speeds by around 30%, especially when dealing with large amounts of data common in universities.

4. Easier Maintenance:

   • Keeping a normalized database can lower maintenance costs by about 40%, since changes only need to be made in one spot.

In short, normalization is really important for making sure university databases are accurate and reliable.