ENHANCING DATA PROCESSING EFFICIENCY THROUGH BIG DATA VIRTUALIZATION IN CLOUD COMPUTING FOR E-COMMERCE

Abstract

This research paper examines the role played by Big Data Virtualization to enhance data processing through cloud-based E-Commerce systems. The research mentions the incorporation of virtualization technologies to simplify data management and improve analytics and decrease latency. The paper shows, through simulation and literature analysis, that virtualized environments help in making more sound decisions and making data operations in E-Commerce ecosystems scalable. The results indicate that integrating the process of virtualization and cloud computing help organizations to manage complex and heterogeneous data sources in a better manner. The study consists of an E-Commerce prototype building, which unites MySQL, MongoDB, and Dremio to virtualize and handle large-scale data in real-time. Findings indicate that there is a marked increase in the performance of the query, the response time, and system scalability. This paper is a contribution to the emerging literature regarding how virtualized big data systems can revolutionize E-Commerce analytics, enhance business customer experiences, and maximize data-driven business strategies.