What is a major benefit of using data normalization in a system?

The major benefit of using data normalization in a system is better scalability. Data normalization involves organizing a database in a way that reduces redundancy and dependency by dividing large tables into smaller, related tables. This process improves data integrity and ensures that changes to data can be made more efficiently.

By eliminating duplicate data and ensuring that each piece of information is stored only once, systems can handle increases in data volume more effectively. This means that as the system scales, it can accommodate growth without becoming cluttered with redundant records, which can slow down operations and lead to data inconsistency. Additionally, normalized databases can be optimized more readily for performance, thus supporting enhanced scalability.

The other options present implications that do not align with the principles of normalization. Increased data duplication is counterproductive to normalization, which strives to minimize redundancy. More complicated queries can occur due to the need to join multiple tables, but this complexity is often outweighed by the benefits of having a clean and organized data structure. Reduced accessibility contradicts the goal of normalization, which is to provide efficient data management and retrieval.