A Review on Data Science Technologies
Keywords:
Data Science, Analytics, Data VisualizationAbstract
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
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- 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.
- Blog post: Thoran Rodrigues in Big Data Analytics, titled "10 emerging technologies for Big Data", December 4, 2012.
- Douglas, Laney. "The Importance of 'Big Data': A Definition". Gartner. Retrieved 21 June 2012.
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