Normalization reduces data redundancy from "summary" of SQL and Relational Theory by C. Date
Normalization is a technique that is widely used in the design of relational databases. One of the key benefits of normalization is that it helps reduce data redundancy. Redundancy refers to the situation where the same piece of data is stored in multiple places within a database. When data redundancy occurs, it can lead to several problems. For example, it can make it more difficult to maintain data consistency, as any changes to the data must be made in multiple locations. This increases the likelihood of errors and inconsistencies creeping into the database. Normalization helps address this issue by breaking down a database into multiple tables and ensuring that each table contains only data that is directly related to the table's primary key. By organizing the data in this way, redundancy is minimized, as each piece of data is stored only once in the database. In addition to reducing data redundancy, normalization also helps improve data integrity. By structuring the database in a way that minimizes redundancy, normalization helps ensure that data remains accurate and consistent. This is because any changes to the data only need to be made in one place, making it easier to maintain data integrity.- Normalization is a powerful tool for improving the design of relational databases. By reducing data redundancy and improving data integrity, normalization helps ensure that databases are easier to maintain, more efficient, and less prone to errors.
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