Normalization in DBMS is a technique used to organize and design databases in a way that reduces redundancy and improves efficiency.

It involves breaking down a database into smaller tables, each serving a specific purpose and eliminating duplicate data. This process ensures data integrity, minimizes data anomalies, and improves overall database performance. Normalization follows a set of rules called normal forms, which help in identifying and eliminating data redundancies.

These normal forms, including first normal form (1NF), second normal form (2NF), and third normal form (3NF), provide guidelines for structuring data in databases. By implementing normalization techniques, databases become more robust, flexible, and easier to manage, leading to enhanced data consistency and accuracy.