Database normalization is a step by step approach to structuring data in a way that reduces redundancy and preserves data integrity. The process is organized into a series of normal forms 1NF, 2NF, 3NF, and BCNF, each designed to resolve specific types of data anomalies and structural problems. Learn about normalization in DBMS, why we need it, and different types of normal forms in dbms with examples. Normalization in DBMS is a systematic process of arranging data in a relational database to minimize redundancy and improve data integrity. It involves decomposing large tables into smaller, related tables and defining relationships among them using keys. Normal forms are a set of progressive rules (or design checkpoints) for relational schemas that reduce redundancy and prevent data anomalies. Each normal form - 1NF, 2NF, 3NF, BCNF, 4NF, 5NF - is stricter than the previous one: meeting a higher normal form implies the lower ones are satisfied. Think of them as layers of cleanliness for your tables: the deeper you go, the fewer redundancy and integrity problems you’ll have. Benefits of using Normal Forms: Reduce duplicate data and wasted ...
