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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM52356

Big Data Analytics: Concepts, Techniques, Applications, Challenges, and Trends

Stream/Area:

-

Subject:

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Paper ID:

IJSREM52356

Volume:

9 |

8 |

Aug 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

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License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

SSN1

Shreenithya S N 1

PSGMM2

Prof. Sandarsh Gowda M M 2

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Abstract

This paper offers an extensive synthesis and critical analysis of Big Data Analytics (BDA), drawing from ten major research papers. It unpacks the foundational features and lifecycle of big data, delves into core technologies, maps sector-wise applications, details analytical techniques, and explores prevailing challenges as well as emerging trends. Integrating insights from recent research, this report aims to serve as both an authoritative overview and a practical guide for professionals and students in the field of data science and analytics.

KEYWORDS

Big Data Analytics 5Vs Data Mining Machine Learning Hadoop NoSQL Streaming Analytics Security Scalability Artificial Intelligence.

Cite This Article

Shreenithya S N 1, Prof. Sandarsh Gowda M M 2, "Big Data Analytics: Concepts, Techniques, Applications, Challenges, and Trends," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 8, Aug 2025.

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1/8/2025

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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