What is normalization?

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Normalization in DBMS

Normalization is the process of organizing data in a database to reduce redundancy (duplicate data) and improve data integrity (accuracy and consistency).

It involves splitting large tables into smaller related tables and defining relationships between them. This ensures that data is stored logically and efficiently.

Why Normalization?

  • Avoids duplicate data.

  • Saves storage space.

  • Ensures consistency (update in one place reflects everywhere).

  • Makes data retrieval more efficient.

Types (Normal Forms)

Normalization is done in steps called normal forms (NF):

  1. 1NF (First Normal Form):

    • Each cell has a single value (no multiple values in one field).

    • Each record is unique.

  2. 2NF (Second Normal Form):

    • Must be in 1NF.

    • No partial dependency (non-key columns depend on the whole primary key, not just part of it).

  3. 3NF (Third Normal Form):

    • Must be in 2NF.

    • No transitive dependency (non-key columns should not depend on other non-key columns).

  4. BCNF (Boyce-Codd Normal Form):

    • A stronger version of 3NF; every determinant must be a candidate key.

Example (Simplified)

Suppose you have a table:

StudentIDStudentNameCourseInstructor
1JohnDBMSProf. A
2MaryDBMSProf. A

Here, Prof. A is repeated. By normalizing:

  • Students Table → (StudentID, StudentName)

  • Courses Table → (Course, Instructor)

  • Enrollments Table → (StudentID, Course)

This reduces duplication and ensures data consistency.

✅ In short:

Normalization = organizing data into structured tables to remove redundancy and maintain integrity.

Read More:

What is the difference between SQL and MySQL?

What are primary keys and foreign keys?

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