A Review on Data Science Technologies

Authors

  • Raj Jayantilal Jaiswal  Department of Computer Engineering, R. C. Patel Institute of Technology, Shirpur, Maharashtra, India

Keywords:

Data Science, Analytics, Data Visualization

Abstract

Data science is secure in with managing huge nature of information to extract significant and coherent outcomes/conclusions/designs. It is a recently rising field that incorporates various exercises, for example, data mining and information investigation. It utilizes procedures extending from arithmetic, insights, and data innovation, Computer programming, information building, design acknowledgment and learning, perception, and superior processing. This paper gives an unmistakable thought regarding the diverse data science innovations.

References

  1. Ari Banerjee, 2013, "Big data and advanced analytics in Telecom: A Multi-Billion-Dollar Revenue Opportunity," December 2013.
  2. D. Fisher, R. DeLine, M. Czerwinski, and S. Drucker, 2012, "Interactions with big data analytics," interactions, Vol. 19, No. 3, PP. 50–59, May 2012
  3. Eckerson, W.. 2011. "BigDataAnalytics: Profiling the Use of Analytical Platforms in User Organizations," TDWI.
  4. Lekha R. Nair and Sujala D. Shetty, "Research in Big Data and Analytics: An Overview," International Journal of Computer Applications, ISSN NO:0975-8887Vol. 108- No. 14, December 2014.
  5. Blog post: Thoran Rodrigues in Big Data Analytics, titled "10 emerging technologies for Big Data", December 4, 2012.
  6. Douglas, Laney. "The Importance of 'Big Data': A Definition". Gartner. Retrieved 21 June 2012.

Downloads

Published

2018-04-30

Issue

Section

Research Articles

How to Cite

[1]
Raj Jayantilal Jaiswal, " A Review on Data Science Technologies, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.1987-1990, March-April-2018.