European Journal of Computer Science and Information Technology (EJCSIT)

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Optimizing Query Processing for Big Data: A Comprehensive Review

Abstract

The proliferation of big data has reshaped the landscape of data management, necessitating innovative approaches to query processing. This research paper presents a comprehensive review of query processing techniques tailored to the unique challenges posed by big data environments. The paper incorporates real-world case studies that showcase successful implementations of advanced query processing techniques within organizations across various industries. These case studies underscore the practical impact of optimized query processing on data-driven decision-making and analytics.

Keywords: Big Data, Database management, Machine learning algorithm, Query processing, offload queries

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This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License

 

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Email ID: editor.ejcsit@ea-journals.org
Impact Factor: 7.80
Print ISSN: 2054-0957
Online ISSN: 2054-0965
DOI: https://doi.org/10.37745/ejcsit.2013

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