Database Normalization

We now introduce normal forms: Techniques to eliminate redundancy and ensure data integrity in relational databases.

What is Normalization?

Normalization is a systematic process of organizing data in a relational database to minimize redundancy and dependency by dividing large tables into smaller, related tables while maintaining data integrity. Introduced by E.F. Codd, it follows a series of normal forms (NF) that progressively enforce stricter rules.

Benefits: Reduces anomalies during insert/update/delete operations, saves storage, and improves query performance. However, over-normalization can lead to complex joins.

Why Normalize?

  • Eliminate data redundancy
  • Prevent update anomalies
  • Ensure referential integrity

Normal Forms Overview

Explore each normal form in detail through dedicated sub-pages.

Normal Forms

Key Takeaways

Data Integrity

Normal forms prevent anomalies by structuring dependencies properly.

Progressive Refinement

Start with 1NF, aim for 3NF; balance with performance needs.

Practical Application

Essential for schema design in RDBMS like PostgreSQL and MySQL.

"Normalization is the cornerstone of efficient, anomaly-free databases."

Ready to query? Next up: SQL basics.