Unlocking peak performance: Advanced techniques for optimizing database efficiency

Nagaraju Thallapally *

University of Missouri Kansas City.
 
Research Article
International Journal of Science and Research Archive, 2021, 03(01), 209-214.
Article DOI: 10.30574/ijsra.2021.3.1.0081
Publication history: 
Received on 27 April 2021; revised on 14 June 2021; accepted on 17 June 2021
 
Abstract: 
As the data is growing at a blazing rate, database performance has never been more important in achieving performant, scalable, and stable systems. We need to optimize for big data, speed up queries, and keep things afloat. The purpose of this article is to review different indexing, query optimization, database design, caching, and hardware-optimization techniques and techniques for performance-enhancing databases. There’s also discussion about database types (relational, NoSQL, in-memory databases) and the effect they have on performance as well as new technologies such as machine learning to optimize databases. Real-life examples and best practices for database performance optimization are provided.
 
Keywords: 
Database Performance; Big Data Optimization; Query Optimization; Indexing Techniques; Caching Strategies; Relational and NoSQL Databases; Machine Learning for Databases; Scalability and Stability
 
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Copyright © 2021 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0