Big Data Analytics and its Tools
Deepak Kumar Verma1 , Ashakti 2
Section:Research Paper, Product Type: Journal Paper
Volume-7 ,
Issue-4 , Page no. 876-880, Apr-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i4.876880
Online published on Apr 30, 2019
Copyright © Deepak Kumar Verma, Ashakti . 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: Deepak Kumar Verma, Ashakti, “Big Data Analytics and its Tools,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.876-880, 2019.
MLA Style Citation: Deepak Kumar Verma, Ashakti "Big Data Analytics and its Tools." International Journal of Computer Sciences and Engineering 7.4 (2019): 876-880.
APA Style Citation: Deepak Kumar Verma, Ashakti, (2019). Big Data Analytics and its Tools. International Journal of Computer Sciences and Engineering, 7(4), 876-880.
BibTex Style Citation:
@article{Verma_2019,
author = {Deepak Kumar Verma, Ashakti},
title = {Big Data Analytics and its Tools},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {876-880},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4134},
doi = {https://doi.org/10.26438/ijcse/v7i4.876880}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.876880}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4134
TI - Big Data Analytics and its Tools
T2 - International Journal of Computer Sciences and Engineering
AU - Deepak Kumar Verma, Ashakti
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 876-880
IS - 4
VL - 7
SN - 2347-2693
ER -
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Abstract
In current scenario the Big Data has a rapid growth and has become a most popular term in the world of internet. The size of generated data is so huge and complex that traditional data processing application tools and platforms are inadequate to deal with it. This article is a result of a systematic analysis that discusses Big Data concepts and applications in various domains. The goal is to explore and understand the current research, opportunities, and challenges relating to the utilization of Big Data and analytics. The contribution of this paper is to provide an analysis of the available literature on big data analytics. Accordingly, some of the various big data tools, methods, and technologies which can be applied are discussed, and also shows the strength and limitations of Hadoop and HPCC systems based on some specific criteria.
Key-Words / Index Term
Bigdata, Bigdata Analytics, IoT.
References
[1]Shilpa, Manjit Kaur,” BIG Data and Methodology-A review”, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, PP.991-995, October 2013.
[2]Smorodin, G, “Big Data-driven world needs Big Data-driven ideology”, Big Data as the Big Game Changer, PP.991-995,2015.
[3]Mrs. Mereena Thomas,” A Review paper on BIG Data”, International Research Journal of Engineering and Technology (IRJET), Volume: 02,PP.1030-1034, Dec-2015.
[4]Kevin Taylor-Sakyi,” Understanding Big Data”, https://www.researchgate.net/publication/291229189,PP.01-08, 13 June 2016.
[5]AK Bharti, Neha Verma, Deepak Kumar Verma, "A Review on Big Data Analytics Tools in Context with Scalability", International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.273-277, 2019. DOI: https://doi.org/10.26438/ijcse/v7i2.273277
[6]Aditya B. Patel, Manashvi Birla, Ushma Nair,“Addressing Big Data Problem Using Hadoop and Map Reduce” PP.01-21,6-8Dec,2012.
[7]AK Bharti, Rashmi Negi, Deepak Kumar Verma, "A Review on Performance Analysis and Improvement of Internet of Things Application", International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.367-371, 2019. DOI: https://doi.org/10.26438/ijcse/v7i2.367371
[8]Xiaomeng Su,”Introduction to Big Data”,Institutt for informatikk og e-loering ved NTNU,PP.01-11.
[9]Sun, D., G. Zhang, S. Yang, Zheng W., S. U.Khan and K. Li, “Re-stream: Realtime and Energy-efficient Resource Scheduling in Big Data Stream Computing Environments”, Information Sciences, No. 319, pp. 92-112, 2015.
[10]Liu, X., N. Iftikhar and X. Xie, “Survey of Real-Time Processing Systems for Big Data”, 18th Int. Database Engineering and Applications Symposium, New York, pp. 356–361, USA, 2014
[11]Bakshi, K,”Considerations for big data: Architecture and approach” 2012.