Big data and big data analytics: A study on concepts, types and technologies

Md. Zillur Rahman

Multidisciplinary Journal
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ISSN Print: 2394-7500, ISSN Online: 2394-5869, CODEN: IJARPF

TCR (Google Scholar): 4.11, TCR (Crossref): 13, g-index: 90

International Journal of Applied Research

Vol. 11, Issue 2, Part D (2025)

Big data and big data analytics: A study on concepts, types and technologies

Author(s)
Md. Zillur Rahman

Abstract
Thanks to the digital age, decision-makers now have simple access to enormous volumes of data. Big data refers to datasets of great size, broad range, and high speed that are challenging to manage using standard tools and methodologies. The fast expansion of this kind of data emphasizes even more the need of finding strategies for storage, organization, and interpretation of it.

Furthermore, challenged are decision-makers' ability to derive insightful analysis from a vast spectrum of dynamic, broad data sources including daily transactions, consumer contacts, and social network information.

"Big data analytics," or the use of sophisticated analytical tools to large volumes, is feasible and allows one to extract this value. The aim of this study is to investigate the possibilities of big data analytics in many spheres of decision-making as well as several analytical approaches and instruments applicable with large data.

DOI:10.22271/allresearch.2025.v11.i2d.12375

Pages: 287-292 | 122 Views 33 Downloads

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How to cite this article:

Md. Zillur Rahman. Big data and big data analytics: A study on concepts, types and technologies. Int J Appl Res 2025;11(2):287-292. DOI: 10.22271/allresearch.2025.v11.i2d.12375

TCR (Google Scholar): 4.11, TCR (Crossref): 13, g-index: 90

Vol. 11, Issue 2, Part D (2025)

Big data and big data analytics: A study on concepts, types and technologies

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