Published Paper Details:

Optimization of query performance in NoSQL distributed databases is one of the specific queries, and the rationale is that using these systems, more and more organizations are working with increasing amounts of unstructured and semi-structured data. This article presents different ways of enhancing the efficiency of the execution of queries with the help of forms of Apriori indexation, data distribution, and refined query optimization methods. It also shows how these methods are applied in large-scale real-world systems on LinkedIn, Netflix, and eBay case studies. Also, the article indicates trends for enhancing query optimization in further NoSQL databases, considering their integration with machine learning, server-less computing, and edge computing that can bring higher effectiveness and versatility to the NoSQL databases. The information presented here is designed to assist DBAs and system architects maintain distributed NoSQL systems' high performance and scalability.