Normalization organizes tables to reduce redundancy and improve integrity. Before normalization, databases suffered from update/delete/insert anomalies causing inconsistencies.

Edgar F. Codd introduced normalization in 1970 to solve data redundancy problems. Normal forms provide mathematical rules for organizing data:

• 1NF: Atomic values, no repeating groups

• 2NF: 1NF + no partial dependencies

• 3NF: 2NF + no transitive dependencies

• BCNF: Stricter 3NF (rarely needed)

Denormalize only when measurements prove performance bottleneck. Normalize first, optimize later.

Every database architect must understand normalization. Poor design costs millions in storage, development time, and data quality issues.

Normalization eliminates data redundancy and anomalies. Prevents update errors, saves storage, ensures consistency. Essential for production databases.