Author : Pushpavathi Mannava 1
Date of Publication :17th May 2019
Abstract: Big data analytics has become a widely desirable skill in many places. Although programs are actually now on call on a variety of aspects of big data, there is actually a lack of a broad as well as available training course doe non-CS majors that enables them to learn more about big data analytics in practice. Students with limited or even no programming capabilities that want data science feature most pupils in scientific research, design and the liberal arts. This paper briefly explains about the data pre-processing and tranformation in big data analytics
Reference :
-
- Brad Brown, Michael Chui, James Manyika,"Are you ready for the era of big data", McKinsey Quaterly, Mckinsey Global Principle, October 2011.
- Carlos Ordonez,"Algorithms and Marketing for Big Data Analytics: Cubes", Computerese, Educational Institution of Houston, USA.
- Cisco White Paper,"Cisco Visual Social Network Mark: Global Mobile Data Visitor Traffic Projection Update 2010-2015", [On the web] On call: http://newsroom.cisco.com/ ekits/Cisco _ VNI _ Global_Mobile_Data_Traffic_Forecast_2010_2015. pdf.
- Dai, Jinquan, et al.,"Hitune: dataflow-based performance analysis for big data cloud", Proc. of the 2011 USENIX ATC (2011 ), pp. 87-100. [On the internet] Readily available: https://www.usenix. org/legacy/event/ atc11/tech/final _ files/Dai. pdf.make
- Pushpa Mannava, "An Overview of Cloud Computing and Deployment of Big Data Analytics in the Cloud", International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Online ISSN : 2394-4099, Print ISSN : 2395-1990, Volume 1 Issue 1, pp. 209-215, 2014. Available at doi : https://doi.org/10.32628/IJSRSET207278
- Pushpa Mannava, "Role of Big Data Analytics in Cellular Network Design", International Journal of Scientific Research in Science and Technology (IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 1 Issue 1, pp. 110-116, March-April 2015. Available at doi : https://doi.org/10.32628/IJSRST207254