Which of the following is NOT a benefit of data normalization?

Data normalization is a database design technique that helps organize data to reduce redundancy and improve data integrity. When you apply normalization, you eliminate duplicate data and ensure that each piece of data is stored in only one place. This reduces data redundancy, which is a significant benefit.

Additionally, normalization enhances data integrity because it ensures that data is accurate and consistent across the database. This means that any changes or updates to the data need to be made in only one location, minimizing the risk of discrepancies.

Streamlined data management is also a benefit of normalization since a well-structured database is easier to maintain, manage, and query. When data is organized in a logical manner, it simplifies the interactions between the database and applications that need to access or manipulate the data.

Increased complexity of database queries is not a benefit of normalization. In fact, while normalization provides many advantages, it can sometimes lead to more complex queries due to the additional steps needed to retrieve data from multiple related tables. Therefore, the correct response to which option is NOT a benefit of data normalization is the idea of increased query complexity.