What does normalization in database design aim to achieve?

Normalization in database design primarily aims to ensure proper organization of data into multiple tables. This process involves structuring the data in a way that reduces redundancy and improves data integrity. By dividing a database into distinct tables, each focused on a specific subject or entity, normalization eliminates the need for duplicate data across tables.

This approach allows for more efficient updates, as changes need to be made in only one place rather than in multiple instances scattered throughout the database. Additionally, it supports logical data relationships through the use of primary and foreign keys, facilitating the organization of related data in a coherent manner.

In the context of normalization, options indicating that all data should be consolidated into a single table or that data should be replicated across multiple databases do not align with the principles of effective database design. Similarly, while enhancing query speed is important, normalization primarily focuses on organizing data effectively rather than directly improving the speed of database queries. These aspects highlight the importance of normalization in creating a robust, efficient, and manageable database structure.