Which of the following best describes normalization in database design?

Normalization in database design refers to the procedure of structuring a database to minimize redundancy and dependencies. This is achieved through a series of rules and processes aimed at ensuring that the data is organized efficiently and logically. By applying normalization techniques, such as decomposing tables and reducing the potential for duplicate data, database designers can improve data integrity and reduce the likelihood of anomalies during data operations like insertions, updates, or deletions.

Essentially, normalization breaks down larger tables into smaller, related tables while establishing relationships, which makes the database structure more manageable and efficient. This also ensures that each piece of data is stored in only one place, thus reducing redundancy and dependencies that can complicate data handling. Normalized databases are typically easier to maintain and scale over time, leading to a more effective design overall.