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Analysis of Retail Data using Apache Spark

Himani Agnihotri1 , Bharti Nagpal2

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 1162-1165, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.11621165

Online published on May 31, 2019

Copyright © Himani Agnihotri, Bharti Nagpal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Himani Agnihotri, Bharti Nagpal, “Analysis of Retail Data using Apache Spark,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1162-1165, 2019.

MLA Style Citation: Himani Agnihotri, Bharti Nagpal "Analysis of Retail Data using Apache Spark." International Journal of Computer Sciences and Engineering 7.5 (2019): 1162-1165.

APA Style Citation: Himani Agnihotri, Bharti Nagpal, (2019). Analysis of Retail Data using Apache Spark. International Journal of Computer Sciences and Engineering, 7(5), 1162-1165.

BibTex Style Citation:
@article{Agnihotri_2019,
author = {Himani Agnihotri, Bharti Nagpal},
title = {Analysis of Retail Data using Apache Spark},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1162-1165},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4379},
doi = {https://doi.org/10.26438/ijcse/v7i5.11621165}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.11621165}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4379
TI - Analysis of Retail Data using Apache Spark
T2 - International Journal of Computer Sciences and Engineering
AU - Himani Agnihotri, Bharti Nagpal
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1162-1165
IS - 5
VL - 7
SN - 2347-2693
ER -

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Abstract

The use of social media sites and Internet is increasing at an alarming rate. Therefore data is generated in huge amounts fraction of a second. This huge amount of data which is characterized by volume, velocity and variety is termed as big data. There is need for a framework that can process this huge amount of data and also analyze it efficiently. Apache Spark is an open source cluster computing platform which can process and analyze data efficiently. In this paper an overview and a simple example of analysis of retail data using Apache Spark is given to demonstrate its functionality.

Key-Words / Index Term

Big Data, Hadoop, MapReduce, Yarn, Spark, RDD

References

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