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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREMWP7059

Survey on Various Tools in Big Data

Stream/Area:

-

Subject:

-

Paper ID:

IJSREMWP7059

Volume:

7 |

6 |

Jun 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

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

AA

Afsha Akkalkot

AB

Aakanksha Barakade

AM

Avisha Mulchandani

TY

Tanmayi Yere

SD

Sonali Dalvi

VY

Vinayak Yadav

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Abstract

In recent years, big data has attracted a lot of interest. It’s a fairly typical necessity today to analyse large amounts of data, and these requirements can become nightmares when done with a large data source like Twitter twits. It can be quite difficult to analyse a large number of twits in order to obtain timely, relevant information with a variety of patterns. This paper will examine the idea of big data analysis and identify some important data from a sample big data source, like Twitter twits, using one of the recently developed tools in the market, called Spark by Apache Spark, Tableau, Jupyter Notebook ,Microsoft Power BI.

KEYWORDS

Apache Spark Tableau Jupyter Notebook Microsoft Power BI

Cite This Article

Afsha Akkalkot, Aakanksha Barakade, Avisha Mulchandani, Tanmayi Yere, Sonali Dalvi, Vinayak Yadav, "Survey on Various Tools in Big Data," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 6, Jun 2023.

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Publication Date

10/5/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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

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