A Review paper on Big Data

A Review paper on Big Data

International Journal of Mobile Computing and Application
© 2019 by SSRG - IJMCA Journal
Volume 6 Issue 2
Year of Publication : 2019
Authors : Shalini Kumari, Dr.Neeru Bhardwaj
: 10.14445/23939141/IJMCA-V6I2P101
MLA Style:

Shalini Kumari, Dr.Neeru Bhardwaj, "A Review paper on Big Data" SSRG International Journal of Mobile Computing and Application 6.2 (2019): 1-3.

APA Style:

Shalini Kumari, Dr.Neeru Bhardwaj,(2019). A Review paper on Big Data. SSRG International Journal of Mobile Computing and Application 6(2), 1-3.


Big data is a very large terms for data set or complex those widely used in data deal with the utilization deficient. The value from the term big data refers simply to use the predictive analysis or also uses the progressive approach to excerpt the value from the data, and we can pick up more confident for decision making. And with the good decisions can means larger practical capability, charge discount and diminished hazards. Analysis of data sets can find the new correlation. The V model for the big data has been defined and categorized in to 3V, 4V or 5V dependent on the organization which uses it and under which business scenario. Catering to the aforementioned models, we have classified data in to various forms and explanations have been provided on the same to gain a better insight and understanding on the same. We need a different platform named Hadoop as the core part of the structuring the big data, and also solves the problem of making it useful for the analytics process.


[1] Sameera Siddiqui, Deepa Gupta,” Big Data Process and Analytics: A Survey”, International Journal Of Emerging Research in Management & Technology, ISSN: 2278-9359, Volume 3, Issue 7, July 2014.
[2] Han Hu, Yongyang Nen, Tat Seng Chua, Xuelong Li,” Towards Scalable System for Big Data Analytics: A Technology Tutorial”, IEEE Access, Volume 2, Page No 653, June 2014.
[3] Bharti Thakur, Manish Mann,” Data mining for big data: A Review”, International journal of advanced Research in Computer Science and Software Engineering, ISSN: 2277 128x, Volume 4, Issue 5, May 2014
[4] Anand V. Saurkar, Vaibhav Bhujade, Priti Bhagat and Amit Khaparde,” A Review Paper on Various Data Mining Techniques”, International Journal of Advanced Research in Computer Science and software Engineering, ISSN:2277 128X,Volume 4, Issue 4, April 2014.
[5] Puneet Singh Duggal, Sanchita Paul,”Big Data Analysis: Challenges and Solutions”, International Conference on Cloud, Big Data and Trust 2013, Nov 2013.
[6] Albert Bifet, “Mining Big Data in Real Time”, informatica, 2013.
[7] Stephen Kaisler, Frank Armour, J. Alberto Espinosa and William Money,” Big Data: Issues and Challenges Moving Forward”,Hawaii International Conference on System Science, IEEE Computer Society, Page No. 995, 2013.
[8] D.Fisher, R.Deline, M.Czerwinski and S. Drucker,”Interaction with big data analytics”, Volume 19, No.3, May 2012.
[9] J.Gantz, D. Reinset,” The Digital Universe in 2020: Big Data, Bigger digital shadow, and biggest growth in the Far East”, in Proc: IDC in view, IDC Anal, Future, 2012.
[10] Denis Guyadeen, Rob Peglar,” Introduction to Analytics and Big data- Hadoop”, SNIA Education Committee, 2012.
[11] Neil Raden,”Big Data Analytics Architecture”, Hired Brains Inc, 2012
[12] James Manyika, Michael Chui, Brad Brown, Jacques Bhuhin, Richard Dobbs, Charles Roxburgh, Angela Hungh Byers, “Big Data: The next frontier for innovation, competition and productivity”, June 2011.
[13] Wei Fan, Albert Bifet, “Mining Big Data: Current Status and Forecast to the Future”, SIGKDD Explorations, Volume 14, Issue 2.
[14] American Institute of Physics (AIP), 2010.College Park,MD (http:// www.aip.org /FYI/2010/) [15] M.Cooper, P.Mell (2012). Tackling big Data (Online). Http://csrc.nist.gov/groups/SMA/Forum/d ocument/June2012Presentation/f%CSM_june2012_cooper_Neul.pdf.
[15] www.google.com
[16] www.wikipedia.com
[17] www.seminarsonly.com

Key Words:

Big data, Characteristics, applications.