What does data normalization aim to achieve?

Data normalization is a systematic approach used in database management that primarily aims to organize data efficiently within a database. Its main goal is to reduce redundancy and improve data integrity. By structuring data into distinct tables and establishing relationships among them, normalization minimizes data duplication and inconsistency. This means that each piece of data is stored in only one place, making updates easier and reducing the likelihood of errors.

When data is normalized, any changes to data values will only need to be made in one location instead of multiple places. This enhances the overall integrity of the database because there is less chance of discrepancies arising from having multiple copies of the same data scattered throughout the system.

In contrast, while enhancing data retrieval speed, simplifying user interaction, and protecting sensitive information can be important aspects of database management and design, these are not the primary objectives of normalization. Therefore, the focus on reducing redundancy and improving data integrity is what distinguishes normalization in the context of data management.