What is the primary advantage of using Normalization in a database design?

Normalization is the process of organizing a relational database in such a way that it reduces redundancy and eliminates undesirable characteristics like insertion, update, and deletion anomalies. The goal of normalization is to ensure that:

• Data redundancy is minimized, which reduces storage costs and prevents inconsistent data.
• Data dependency is minimized by breaking down large tables into smaller, manageable ones and linking them via foreign keys.

There are different levels of normalization (1NF, 2NF, 3NF, etc.), each aiming to address specific types of redundancy and dependency in the data model. By structuring the database correctly, normalization ensures that the database remains consistent and flexible as data is updated or modified. Why other options are incorrect:

• A is incorrect because normalization does not necessarily reduce the number of tables but instead organizes data across multiple tables more effectively.
• B is incorrect because normalization is aimed at reducing redundancy and improving data integrity, not increasing redundancy. It might slightly decrease query performance due to the increase in joins between tables.
• D is incorrect because normalization might not directly improve query performance; it can actually slow it down due to the increased number of joins.
• E is incorrect because, while normalization introduces some complexity in the schema (due to the use of foreign keys), its primary goal is not to increase complexity but to organize data in a way that reduces redundancy and dependency.