Introduction to Normalization

Normalization is a systematic process of organizing the columns (attributes) and tables (relations) of a relational database to minimize data redundancy and improve data integrity. It is a multi-step process that involves applying a series of "normal forms." Each normal form has a specific set of rules that data must adhere to.

Why Normalize?

Without normalization, databases can suffer from several anomalies:

Normalization helps to overcome these issues by ensuring that data is stored in a logical and efficient manner. This leads to a more robust, maintainable, and scalable database.

The Normal Forms

The most common normal forms are:

Each subsequent normal form builds upon the requirements of the previous one. Generally, achieving 3NF is sufficient for most practical applications. BCNF is a stricter version of 3NF.

Key Concepts

Before diving into the normal forms, it's essential to understand a few key database concepts:

  • Attribute: A column in a table (e.g., 'CustomerID', 'ProductName').
  • Tuple (Row): A single record in a table.
  • Primary Key: One or more attributes that uniquely identify each row in a table.
  • Functional Dependency: If the value of attribute A determines the value of attribute B, we say that B is functionally dependent on A (denoted as A → B).

The Goal of Normalization

The primary goal of normalization is to decompose tables into smaller, well-structured tables that represent distinct entities or relationships. This decomposition ensures that:

The following sections will detail each normal form and provide examples to illustrate their application.