Big Data and Hadoop Computational Challenges- A Comparison Study
Mamoon Rashid1 , Mir Aamir2 , Balwant Ram3
Section:Research Paper, Product Type: Journal Paper
Volume-6 ,
Issue-7 , Page no. 1446-1452, Jul-2018
CrossRef-DOI: https://doi.org/10.26438/ijcse/v6i7.14461452
Online published on Jul 31, 2018
Copyright © Mamoon Rashid, Mir Aamir, Balwant Ram . 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.
View this paper at Google Scholar | DPI Digital Library
How to Cite this Paper
- IEEE Citation
- MLA Citation
- APA Citation
- BibTex Citation
- RIS Citation
IEEE Style Citation: Mamoon Rashid, Mir Aamir, Balwant Ram, “Big Data and Hadoop Computational Challenges- A Comparison Study,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.1446-1452, 2018.
MLA Style Citation: Mamoon Rashid, Mir Aamir, Balwant Ram "Big Data and Hadoop Computational Challenges- A Comparison Study." International Journal of Computer Sciences and Engineering 6.7 (2018): 1446-1452.
APA Style Citation: Mamoon Rashid, Mir Aamir, Balwant Ram, (2018). Big Data and Hadoop Computational Challenges- A Comparison Study. International Journal of Computer Sciences and Engineering, 6(7), 1446-1452.
BibTex Style Citation:
@article{Rashid_2018,
author = {Mamoon Rashid, Mir Aamir, Balwant Ram},
title = {Big Data and Hadoop Computational Challenges- A Comparison Study},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {1446-1452},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2625},
doi = {https://doi.org/10.26438/ijcse/v6i7.14461452}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.14461452}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2625
TI - Big Data and Hadoop Computational Challenges- A Comparison Study
T2 - International Journal of Computer Sciences and Engineering
AU - Mamoon Rashid, Mir Aamir, Balwant Ram
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 1446-1452
IS - 7
VL - 6
SN - 2347-2693
ER -
VIEWS | XML | |
803 | 430 downloads | 292 downloads |
Abstract
Big Data refers that data which cannot be stored and processed efficiently by traditional techniques. Storage and processing of big data is a real challenge. To solve the big data problem, Hadoop provide an optimum framework. Hadoop framework is based on java and it can process data in large quantities. It is able to process unstructured data as well and that too in a distributed manner. In this paper, the authors have studied different dimensions of Big Data and tried to provide the comparison study existing between the resource findings related to it. The authors have further highlighted the various challenges where researchers need to put focus to enhance functionality and power of Big Data Computation.
Key-Words / Index Term
Big Data, Hadoop, HDFS, Map Reduce, Security
References
[1] Seref Sagiroglu and Duygu Sinanc, “Big Data: A review”
, IEEE, 2013, pp. 42–47.
[2] Dinesh D. Jagtap and Prof. B.K. Patil, “Big Data using
Hadoop”, International Journal of Engineering Research and
General Science, Oct-Nov 2014, Volume 2, Issue 6, pp. 467
472.
[3] Cloudera white paper, “Hadoop and HDFS”, version 106.
[4] Sreedhar C, Dr. D. Kavitha and K. Asha Rani, “Big Data
and Hadoop”, International Journal of Advanced Research in
Computer Engineering and Technology, May 2014, Volume
3, Issue 5, pp. 1571–1575.
[5] Yashika Verma and Sumit Hooda, “A Review Paper on
Big Data and Hadoop”, International Journal of Scientific
Research and Development, 2015, Volume 3, Issue 2, pp.
682–684.
[6] Swarupkumar Shivaji Suradkar, “Analysis of Big Data
with Hadoop Framework”, International Journal of
Advanced Research in Computer Science and Software
Engineering, Nov 2016, Volume 6, Issue 11, pp. 167–169.
[7]Anusha B. Dhakite and Prof. Nitin V. Wankhade, “Big
Data: An Overview”, International Journal of Advanced
Research in Computer Science and Software Engineering,
June 2016, Volume 6, Issue 6, pp. 841–845.
[8] Prabhjot singh, Mamoon Rashid, “Smart Home Automation Deployment on Third Party Cloud Using
Internet of Things”, published in Journal of Bioinformatics and Intelligent Control, Vol. 4, 1–4, 2015.
[9] Ranjana Bahri, “Big Data: Concept, Challenges and
Management Tools”, International Journal of Advanced
Research in Computer Science and Software Engineering,
Feb 2015, Volume 5, Issue 2, pp. 986–990.
[10] Prof. R.A. Fadnavis and Samrudhi Tabhane, “Big Data
Processing using Hadoop”, International Journal of
Computer Science and Information Technologies, 2015,
Volume 6(1), pp. 443–445.
[11] Simmi Bagga and Satinder Kaur, “Big Data and
Hadoop”, International Journal of Advanced Engineering
Research and Applications, Oct 2015, Volume 1, Issue 6, pp.
233–238.
[12] Deepika Pand Anantha Raman G R, “A Study of
Hadoop-Related Tools and Techniques”, International
Journal of Advanced Research in Computer Science and
Software Engineering, September 2015, Volume 5, Issue 9,
pp. 160–164.
[13] Abhinandan P Shirahatti, Neha Patil, Durgappa
Kubasad and Arif Mujawar, “Sentiment Analysis on Twitter
Data using Hadoop”, International Journal of Emerging
Technology in Computer Science and Electronics, April
2015, Volume 14, Issue 2, pp. 831–837.
[14] Sukhpal Kaur and Mamoon Rashid, “Web News Mining using Back Propagation Neural Network and Clustering using K-Means Algorithm in Big Data, published in Indian Journal of Science and Technology, Vol 9(41), DOI: 10.17485/ijst/2016/v9i41/95598, November 2016.