What is the primary purpose of normalization in database design?

Normalization is a database design technique that organizes data into tables to reduce redundancy and enhance data integrity. 1. Reduction of Redundancy: By decomposing a database into smaller, related tables, normalization minimizes the duplication of data across the database. 2. Integrity Enforcement: Through constraints such as primary and foreign keys, normalization ensures data accuracy and consistency. 3. Normalization Forms: It employs techniques like 1NF (eliminating duplicate columns), 2NF (removing partial dependencies), and 3NF (removing transitive dependencies). 4. Efficiency: A normalized database is easier to maintain, as updates are made in fewer places. This method optimizes data storage, reduces anomalies (update, delete, and insert), and ensures a clean database structure. Why Other Options Are Incorrect: • A) Increase redundancy for faster data retrieval: This contradicts normalization’s primary goal of reducing redundancy. • B) Simplify query optimization: While normalization can assist in query efficiency, its primary goal is to organize data. • D) Create more complex table relationships: Normalization simplifies relationships rather than creating unnecessary complexity. • E) Minimize the use of indexing: Normalization focuses on data organization, not directly on indexing.