What is the process of organizing database tables to minimize redundancy and improve data integrity called?

The process of organizing database tables to minimize redundancy and improve data integrity is known as normalization. Normalization involves structuring a relational database in such a way that dependencies are properly enforced by database design, which reduces the likelihood of data anomalies and ensures that the data is stored in the most efficient way possible. This is achieved by dividing large tables into smaller, related tables and establishing relationships between them.

Normalization typically involves several steps, which can include eliminating duplicate data, organizing data into appropriate tables, and establishing primary and foreign keys to maintain relationships. This structured approach helps ensure that updates, insertions, and deletions of data can be performed without introducing inconsistencies, thus improving overall data integrity and reliability in the database.

The other processes listed, such as encryption, parsing, and data mining, serve different purposes: encryption focuses on securing data, parsing involves breaking down data into manageable pieces for processing, and data mining is analyzing large datasets to identify patterns or extract useful information. None of these practices directly relate to the organization and structural integrity of database tables in the same way that normalization does.