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Comprehensive Study on Big Data Analytics

Sarala N R1 , Gagana R P2 , Manisha R3 , Monisha P V4 , Roja L5

Section:Survey Paper, Product Type: Journal Paper
Volume-07 , Issue-15 , Page no. 265-269, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si15.265269

Online published on May 16, 2019

Copyright © Sarala N R, Gagana R P, Manisha R, Monisha P V, Roja L . 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: Sarala N R, Gagana R P, Manisha R, Monisha P V, Roja L, “Comprehensive Study on Big Data Analytics,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.265-269, 2019.

MLA Style Citation: Sarala N R, Gagana R P, Manisha R, Monisha P V, Roja L "Comprehensive Study on Big Data Analytics." International Journal of Computer Sciences and Engineering 07.15 (2019): 265-269.

APA Style Citation: Sarala N R, Gagana R P, Manisha R, Monisha P V, Roja L, (2019). Comprehensive Study on Big Data Analytics. International Journal of Computer Sciences and Engineering, 07(15), 265-269.

BibTex Style Citation:
@article{R_2019,
author = {Sarala N R, Gagana R P, Manisha R, Monisha P V, Roja L},
title = {Comprehensive Study on Big Data Analytics},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {15},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {265-269},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1241},
doi = {https://doi.org/10.26438/ijcse/v7i15.265269}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i15.265269}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1241
TI - Comprehensive Study on Big Data Analytics
T2 - International Journal of Computer Sciences and Engineering
AU - Sarala N R, Gagana R P, Manisha R, Monisha P V, Roja L
PY - 2019
DA - 2019/05/16
PB - IJCSE, Indore, INDIA
SP - 265-269
IS - 15
VL - 07
SN - 2347-2693
ER -

           

Abstract

Big Data is termed has any type of datasets which are so vast and compound which becomes difficult to process them using traditional data processing applications. While handling vast dataset different challenges may be faced by the user. In recent times, the internet application and communication have observed a lot of growth and reputation in the field of Information Technology. These internet applications and communication are frequently generating the large size, different variety and with some authentic difficult multifaceted structure data called big data. As a result, we are now in the era of enormous automatic data collection. For example, E-commerce transactions include activities such as online buying, selling or investing. Thus they generate the data which are high in dimensional and complex in structure. The traditional data storage techniques are not adequate to store and analyses those huge volume of data. Many researchers are doing their research in dimensionality reduction of the big data for effective and better analytics report and data visualization. The technologies used by big data application to handle the massive data are Hadoop, Map Reduce, and Apache Hive. Hence, the aim of the survey paper is to provide the overview of the big data analytics, issues, challenges and various technologies related with Big Data.

Key-Words / Index Term

Big Data, Big Data Analytics, Hadoop, Map Reduce

References

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