What is normalization in databases?

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Normalization in databases is the process of organizing data into structured tables to reduce redundancy and improve data integrity. It involves dividing large, complex tables into smaller ones and defining relationships between them, ensuring that each piece of data is stored only once.

The main goals of normalization are:

  1. Eliminate redundant data – Avoid storing the same information in multiple places.

  2. Ensure data dependencies are logical – Store data in the right table based on meaning.

  3. Improve consistency and integrity – Reduce anomalies during insert, update, or delete operations.

🔹 Normal Forms (NF):

  • 1NF (First Normal Form) – Each column holds atomic (indivisible) values; no repeating groups.

  • 2NF – Must be in 1NF, and every non-key column depends fully on the primary key.

  • 3NF – Must be in 2NF, and all columns should depend only on the primary key, not on other non-key columns.

  • BCNF (Boyce-Codd Normal Form) – A stronger version of 3NF, handling more complex dependencies.

🔹 Example:
Instead of storing student details and course details in one table (causing redundancy), normalization separates them into Students and Courses, linked by a relationship table Enrollments.

✅ Summary: Normalization ensures a clean, efficient, and consistent database design, minimizing duplication while making data easier to maintain and query.

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