Index Tuning
Index tuning is the process of analyzing, designing, and optimizing database indexes to improve query performance and reduce resource consumption. It involves identifying which columns to index, choosing appropriate index types (e.g., B-tree, hash, full-text), and maintaining indexes as data changes. This practice is crucial for ensuring efficient data retrieval in relational and NoSQL databases.
Developers should learn index tuning when working with databases that experience slow query performance, high CPU usage, or scalability issues, particularly in applications with large datasets or complex queries. It is essential for optimizing read-heavy operations, such as in e-commerce platforms, analytics systems, or content management systems, where fast data access is critical for user experience and system efficiency.