STUDY OF EFFECTIVE METHODS FOR OPTIMIZING REQUESTS AND CHANGING THE DATA STRUCTURE OF THE UNIVERSITY EDUCATIONAL PORTAL

Abstract

Query optimization in SQL databases is an important task facing developers when working with large volumes of data. The article discusses key methods for improving query performance, such as the use of indexes, sharding, aggregation, as well as data caching and replication, in connection with the change in the data structure of the university educational portal. Fragmentation allows you to effectively distribute data across multiple nodes, and aggregation allows you to perform complex calculations on the server. Data caching and replication increase the availability and fault tolerance of the system. Code examples are provided for each method, allowing you to better understand their implementation and use in NoSQL systems. Using these methods significantly improves query performance, making the system more scalable and efficient.