The Role of Cloud Computing in Big Data Analytics

Authors

  • Pankaj Kumar Sah, Eshan Rajbhandari, Nabin Shah, Pradeep Kumar Mishra, Anurag Rai Gouri Sankar Mishra

Keywords:

Cloud computing, big data analytics, data processing, cloud storage, scalability, data-driven decision-making, machine learning, artificial intelligence, data security, cloud infrastructure

Abstract

Cloud computing has become a vital enabler for big data analytics, offering scalable, flexible, and cost-effective resources for managing, processing, and analysing massive datasets. This paper investigates the role of cloud computing in big data analytics by examining its infrastructure, service models, and ability to handle vast amounts of data. The synergy between cloud computing and big data analytics provides numerous benefits, including enhanced storage capabilities, on-demand resource allocation, and powerful processing capacities, all of which empower organizations to derive actionable insights and make data-driven decisions. Key areas explored include cloud storage, data processing frameworks, and the integration of machine learning and artificial intelligence to boost analytical performance within cloud environments. Challenges such as data security, privacy, and latency are also addressed, with an emphasis on potential strategies to mitigate these issues. By providing a comprehensive analysis of cloud-supported big data analytics, this study underscores the transformative impact of cloud computing across various sectors, including healthcare, finance, and e-commerce, where data-driven strategies have become increasingly essential.

DOI: https://doi.org/10.17762/ijisae.v12i23s.7339

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References

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Published

06.11.2024

How to Cite

Pankaj Kumar Sah. (2024). The Role of Cloud Computing in Big Data Analytics. International Journal of Intelligent Systems and Applications in Engineering, 12(23s), 2336 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/7339

Issue

Vol. 12 No. 23s (2024)

Section

Research Article

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