How does data normalization help databases?

• A. By making them more complex
• B. By reducing data redundancy
• C. By speeding up access times
• D. By enhancing data security

Answer: (B)

Data normalization is a process in database design that involves organizing data to minimize redundancy and dependency. When a database is normalized, the same piece of data is stored only once, rather than being duplicated across multiple tables or fields. This reduction in redundancy has several benefits.

For one, it helps maintain data integrity, as any changes to the data need only be made in a single location rather than in multiple places. This also simplifies updates and deletions because there's less chance of having inconsistent data entries. Moreover, normalization can lead to reduced storage costs because less space is consumed by eliminating duplicate data.

While data normalization may sometimes lead to slightly more complex queries due to the need to join tables, its primary function and benefit is to effectively reduce data redundancy, ensuring a cleaner and more efficient database structure.