Definition
Database optimization is the process of fine-tuning database systems to improve their performance and efficiency. This involves analyzing and adjusting various components, such as query structures, indexing strategies, hardware configurations, and database software settings. The goal is to reduce response times, minimize resource consumption, and ensure the database can handle increasing workloads effectively. For instance, adding an appropriate index to a frequently queried table can dramatically speed up data retrieval. It is distinct from database normalization, which focuses on organizing data to reduce redundancy and improve data integrity. Understanding database optimization is crucial for roles involving system design, administration, and performance tuning, appearing in domains like AWS Certified Solutions Architect and CompTIA Cloud+ certification preparation.