Normalization is the process of organizing data to reduce redundancy and improve data integrity.
It divides large tables into smaller related tables.
This improves database structure.
Normalization helps avoid data anomalies.
It improves insert, update, and delete operations.
Well-normalized databases are easier to maintain.
Normalization is applied using normal forms.
Each normal form follows specific rules.
These rules improve data consistency.
Without normalization, data is repeated.
Normalization separates data into logical tables.
Relationships are created using keys.
Normalization improves database reliability.
It is widely used in real-world applications.
Understanding normalization is essential for interviews.