Big Data and Cloud Computing: A Review of Paradigms Transforming Computer Science

Authors

  • Ankur singh University of North America Author

DOI:

https://doi.org/10.70445/gjus.2.1.2025.190-213

Keywords:

Big Data, Cloud Computing, Data Analytics, Scalability, Real-Time Processing, Distributed Systems.

Abstract

In this review, the author discusses the revolutionary conjunction between two emerging phenomena: Big Data and Cloud Computing, which, overturning the traditional paradigm in Computer Science, transform the outlook in the field. Big Data now allows us to process and analyses huge, varied volumes of data, and Cloud Computing can offer the scalable, on-demand infrastructure on which these can run. Combined them enable real-time analytics, AI applications, intelligent decisions, and smart city applications across industries including healthcare, finance, retail and real estate. The paper will explore some of the concepts on which it is based, how it has been integrated into technology, practical examples, advantages and some of the emerging trends like edge computing and server less architectures. It also deals with the major concerns relating to it implying the data privacy, security, vendor lock-in, and ethical issues. Finally, this review points out the synergy of the Big Data and the Cloud that is shaping a new age in innovation and power of computing.

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Published

2025-07-29

How to Cite

singh, A. . (2025). Big Data and Cloud Computing: A Review of Paradigms Transforming Computer Science. Global Journal of Universal Studies, 2(1), 190-213. https://doi.org/10.70445/gjus.2.1.2025.190-213