What is normalization in database design and why is it important?

Normalization in Database Design:

Normalization in database design refers to the process of organizing data in a database to reduce redundancy and ensure data integrity. It involves breaking down large tables into smaller ones and establishing relationships between them to avoid duplicate data and maintain consistency.

Importance of Normalization:

Normalization is important in database design for several reasons:

• Minimizes Redundancy: By eliminating redundant data, normalization reduces storage space and ensures data consistency.
• Ensures Data Integrity: Normalization helps maintain data integrity by reducing the risk of inconsistencies and anomalies in the database.
• Facilitates Querying: Normalized databases are easier to query and retrieve data from, leading to improved performance and efficiency.
• Supports Scalability: A well-normalized database is more scalable and adaptable to changes in data requirements over time.

Overall, normalization plays a crucial role in database design by improving data quality, reducing redundancy, and enhancing the overall performance of the database system.