A Review Paper on Big Data with comparative analysis of Hadoop
DOI:
https://doi.org/10.26438/ijcse/v7i1.257261Keywords:
Hadoop, HDFS, Challenges, Big Data AnalysisAbstract
Big data is the complete data that is generated by human beings in daily life. Data is gathered from various sources and thus made useful for people by preprocessing it. For processing such huge amount of data (i.e. in terabytes and petabytes), specialized hardware and software is required. Thus, to store, manage, and process the increasing amount of data is really a challenging area of research and development in big data analysis. The objective of this paper is to explore the impact, challenges, architecture of big data and various tools associated with it. This paper also provides a comparative study of Hadoop distributed file system and traditional database and a platform to explore it at various stages.
References
[1] International Journal of Engineering Technology, Management and Applied Sciences www.ijetmas.com March 2017, Volume 5 Issue 3, ISSN 2349-4476 19 AnjanaRaviprolu The Big Data and Market Research Anjana Raviprolu, Dr.Lankapalli Bullayya.
[2] International Journal of Scientific and Research Publications, Volume 4, Issue 10, October 2014 1 ISSN 2250-3153 www.ijsrp.org A Review Paper on Big Data and Hadoop Harshawardhan S. Bhosale1 , Prof. Devendra P. Gadekar.
[3] Jimmy Lin “MapReduce Is Good Enough?” The control project. IEEE Computer 32 (2013)
[4] Shilpa Manjit Kaur,” BIG Data and Methodology- A review” ,International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 10, October 2013.
[5] D. P. Acharjya, S. Dehuri and S. Sanyal Computational Intelligence for Big Data Analysis, Springer International Publishing AG, Switzerland, USA, ISBN 978-3-319-16597-4, 2015.
[6] Jyoti Kumari, Mr. Surender, Statically Analysis on Big Data Using Hadoop,IJCSMC, Vol. 6, Issue. 6, June 2017, pg.259 – 265
[7] C.L. Philip Chen, Chun-Yang Zhang, “Data intensive applications, challenges, techniques and technologies: A survey on Big Data” Information Science 0020-0255 (2014), PP 341-347, elsevier.
[8] Gayathri Ravichandran ,Big Data Processing with Hadoop : A Review , International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 04 Issue: 02,Feb -2017 .
[9] Abdelladim Hadioui!!", Nour-eddine El Faddouli, Yassine Benjelloun Touimi, and Samir Bennani Machine Learning Based On Big Data Extraction of Massive Educational Knowledge,iJET ‒ Vol. 12, No. 11, 2017.
[10] Rahul Beakta , Big Data And Hadoop: A Review Paper Volume 2, Spl. Issue 2 (2015) e-ISSN: 1694-2329 | p-ISSN: 1694-2345
[11] ]Kache, F., Kache, F., Seuring, S., Seuring, S.,Challenges and opportunities of digital information at the intersection of Big Data Analytics and supply chain management. International Journal of Operations & Production Management 37, 10–36, (2017)https://doi.org/10.1108/IJOPM-02-2015-0078
[12] Zhou, L., Pan, S., Wang, J., Vasilakos, A.V., Machine Learning on Big Data: Opportunities and Challenges. Neurocomputing, (2017).
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