Which term describes the process of organizing fields and tables in a relational database to minimize redundancy?

The process of organizing fields and tables in a relational database to minimize redundancy is referred to as normalization. Normalization involves structuring a database in such a way that reduces duplicate data and ensures that the relationships between data entities are logical and meaningful. This technique is essential for maintaining data integrity and optimizing the efficiency of database operations.

Normalization typically involves dividing large tables into smaller, more manageable tables while defining relationships between them, which helps to eliminate data anomalies such as insertion, update, and deletion issues. By breaking down data into smaller entities, normalization helps in achieving a clean and efficient database design, which is crucial for effective data management in relational databases.

While data warehousing, data mining, and query optimization are important concepts in the realm of data and databases, they serve different purposes. Data warehousing involves the storage of data from multiple sources for analysis and reporting. Data mining refers to the practice of examining large datasets to discover patterns and extract useful information. Query optimization focuses on improving the performance of database queries to retrieve information more efficiently. None of these functions specifically aim to minimize redundancy within the context of database table organization like normalization does.