Normalization is the process of organizing data in a database to reduce data redundancy and dependency, and to ensure data consistency and accuracy. Normalized relations have several advantages over unnormalized relations:
Data consistency: Normalization reduces the likelihood of data inconsistencies by ensuring that each piece of data is stored in only one place. This means that there is less chance of data becoming out-of-date or incorrect.
Reduced data redundancy: Normalization eliminates data redundancy, meaning that each piece of data is stored in only one place. This results in a smaller database size, which can improve performance and reduce storage costs.
Improved database maintainability: Normalization simplifies the database structure, making it easier to maintain and modify over time. This means that it is easier to make changes to the database structure or add new data without introducing errors.
Increased data integrity: Normalization helps to ensure data integrity by reducing the likelihood of update anomalies, meaning that data is less likely to be deleted or updated by accident.
Improved query performance: Normalization can improve query performance, especially in large databases, because it reduces the amount of data that needs to be processed and searched.
In summary, normalized relations provide many benefits for database management, including improved data consistency, reduced data redundancy, improved maintainability, increased data integrity, and improved query performance.
