Big Data and Its Impact on Business Revolution- A Review

International Journal of Computer Trends and Technology (IJCTT)          
© 2016 by IJCTT Journal
Volume-35 Number-3
Year of Publication : 2016
Authors : Monika Yadav, Neha Goyal


Monika Yadav, Neha Goyal "Big Data and Its Impact on Business Revolution- A Review". International Journal of Computer Trends and Technology (IJCTT) V35(3):144-149, May 2016. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
Adaptation of Big Data proves practically beneficial to many organizations. This paper will include study of Big Data by taking brief of data mining and data analytics, importance, applications, parallel processing and sources of big data into consideration. Various surveys on big data demonstrate the practical applicability of big data approach in various company or organization. Various challenges and factors influencing big data implementation have been discussed.

[1] Laney D. 3D data management: controlling data volume, velocity, and variety, META Group, Tech. Rep. 2001. [Online]. Available: files/2012/01/ad949-3D-Data-Management- Controlling
[2] Data-Volume-Velocity-and-Variety.pdf. Borne K. Top 10 big data challenges a serious look at 10 big data vs., Tech. Rep. 2014. [Online]. Available: 10-big-data-v.
[3] Ritu Katarha, Hareram Shah "A Novel Integrated Approach for Big Data Mining". International Journal of Computer Trends and Technology (IJCTT) V18(5):195- 198, Dec 2014.
[4] Xu R, Wunsch D. Clustering. Hoboken: Wiley-IEEE Press; 2009.
[5] Chun-Wei Tsai, Chin-Feng Lai, Han-Chieh Chao and Athanasios V. Vasilakos, ―Big data analytics :a survey, Tsai et al. Journal of Big Data (2015).
[6] Han J. Data mining: concepts and techniques. San Francisco: Morgan Kaufmann Publishers Inc.;
[7] Pospiech M, Felden C. Big data—a state-of-the-art. In: Proceedings of the Americas Conference on Information Systems, 2012, pp 1–23. [Online]. Available: port/22.
[8] Richa Gupta , Sunny Gupta , Anuradha Singhal."Big Data : Overview". International Journal of Computer Trends and Technology (IJCTT) V9(5):266-268, March 2014.
[9] Apache Hadoop, February 2, 2015. [Online]. Available:
[10] Cuda, February 2, 2015. [Online]. Available: URL:
[11] Apache Storm, February 2, 2015. [Online]. Available: URL:
[12] Curtin RR, Cline JR, Slagle NP, March WB, Ram P, Mehta NA, Gray AG. MLPACK: a scalable C++ machine learning library. J Mach Learn Res. 2013; 14:801–5.
[13] Apache Mahout, February 2, 2015. [Online]. Available:
[14] SAS. Big Data: what it is and why it matters. [Online]. Available: what-is-big-data.html
[15] Go parallel: Parallel computing in age of big data. [Online]. Available: age-big-data/.
[16] Accenture. Big Success with Big Data, 2014. [Online]. Available:
[17] TIBCO Jaspersoft. Big Data Survey, 2013. [Online]. Available: E:\ReseachPaper\Big-Data\Big Data Survey - TIBCO Jaspersoft.html.
[18] K.Indira Gandhi , Sri.C.Sreedhar "Survey on Big Data: Management and Challenges". International Journal of Computer Trends and Technology (IJCTT) V20(1):33-36, Feb 2015.

Applications, Big Data, Data Analytics, Data Mining, Importance, Parallel Processing, Sources, Surveys.