Database normalization is an important process used to organize and structure relational databases. This process ensures that data is stored in a way that minimizes redundancy, simplifies querying, and improves data integrity. Training more people? Get your team access to the full DataCamp for business platform.

As an SQL Developer, you often work with enormous amounts of data stored in different tables that are present inside multiple databases. It usually becomes strenuous to extract the data if it needs to be correctly organized. Using Normalization, you can solve the problem of data redundancy and organize the data using different forms.

After Normalization: The data is divided into logical tables to ensure consistency, avoid redundancy and remove anomalies making the database efficient and reliable. Elimination of Data Redundancy: One of the main features of normalization is to eliminate the data redundancy that can occur in a database.

This extra protection allows for effective, secure database management. To ensure efficient normalization in DBMS, focus on the following points is necessary: You have seen and understood Normalization in SQL in its different forms in this tutorial. Now, you can organize the data in the database, remove data redundancy and promote data integrity.