In database management, what does normalization aim to achieve?

• A. Improve data integrity
• B. Increase database size
• C. Speed up querying
• D. Enhance security measures

Answer: (A)

Normalization in database management is a systematic approach designed to organize data within a database to reduce redundancy and improve data integrity. The primary goal of normalization is to ensure that the data is stored in a way that minimizes duplication, helps enforce data dependencies, and maintains data consistency throughout the database.

By applying different normalization forms, databases can be structured so that each piece of data is stored only once and can be referenced multiple times when needed. This organization helps prevent anomalies during data insertion, deletion, or updates, thereby preserving the accuracy and reliability of the data across various operations. Additionally, having a well-normalized database can enhance the overall efficiency of the database by simplifying the structure.

In contrast, options that suggest increasing database size, speeding up queries, or enhancing security features do not directly relate to the fundamental objectives of normalization. Increasing size can lead to inefficiencies, while speed and security are influenced by numerous factors beyond the immediate context of data normalization. Hence, improving data integrity encapsulates the essence of what normalization seeks to achieve in database management.