What is data normalization?

What is data normalization?

• A. The process of organizing data to reduce redundancy and improve data integrity in a database.
• B. The process of merging tables to increase redundancy.
• C. The process of encrypting data for security.
• D. The process of migrating data to the cloud.

Answer: (A)

Data normalization is the process of structuring a database so that data is stored in related tables in a way that minimizes duplication and ensures data dependencies make sense. By breaking information into separate, logically related tables and using keys to connect them, updates, deletions, and inserts stay consistent because a single fact isn’t stored in multiple places. This reduces anomalies and helps maintain data integrity while keeping the data model flexible and efficient to query. That matches the option that defines normalization as organizing data to reduce redundancy and improve data integrity. Merging tables to increase redundancy would create duplicates, which normalization aims to avoid. Encrypting data is about security, not structure, and migrating data to the cloud concerns storage location, not how data is organized.

Data normalization is the process of structuring a database so that data is stored in related tables in a way that minimizes duplication and ensures data dependencies make sense. By breaking information into separate, logically related tables and using keys to connect them, updates, deletions, and inserts stay consistent because a single fact isn’t stored in multiple places. This reduces anomalies and helps maintain data integrity while keeping the data model flexible and efficient to query.

That matches the option that defines normalization as organizing data to reduce redundancy and improve data integrity. Merging tables to increase redundancy would create duplicates, which normalization aims to avoid. Encrypting data is about security, not structure, and migrating data to the cloud concerns storage location, not how data is organized.