Big Data and Cloud Computing: A Critical Review

Akansha Gautam and Indranath Chatterjee
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Akansha Gautam: Department of Computer Science, University of Delhi, Delhi, India
Indranath Chatterjee: Department of Computer Science and Engineering, J.K. Lakshmipat University, Jaipur, India & Department of Computer Engineering, Tongmyong University, Busan, South Korea

International Journal of Operations Research and Information Systems (IJORIS), 2020, vol. 11, issue 3, 19-38

Abstract: With evolving technology, a huge data is being generated from everywhere in various forms. The driving factors for the evolution of data, such as retail, media, banking, healthcare, and education, leads to a very large and complex collection of data popularly coined as big data. Handling, management, and analysis of big data seem to be a complicated process. Utilising cloud environment for analysing big data is a recent research trend. Big data analytics can provide cost-effective ways to analyse information quickly and helps in decision making, improvement in services or products. This paper aims to critically review the literature to find current issues and research gaps. This study illustrates the existing solutions and methods provided for big data and its rise in cloud computing technology. Furthermore, this paper throws light on the open research challenges in this domain, stating the scope of future work.

Date: 2020
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