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Reseach Article

Emerging Role of Data Scientist in Big Data

by Shakti Kundu, M L Garg
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 123 - Number 3
Year of Publication: 2015
Authors: Shakti Kundu, M L Garg
10.5120/ijca2015905258

Shakti Kundu, M L Garg . Emerging Role of Data Scientist in Big Data. International Journal of Computer Applications. 123, 3 ( August 2015), 15-18. DOI=10.5120/ijca2015905258

@article{ 10.5120/ijca2015905258,
author = { Shakti Kundu, M L Garg },
title = { Emerging Role of Data Scientist in Big Data },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 123 },
number = { 3 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 15-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume123/number3/21939-2015905258/ },
doi = { 10.5120/ijca2015905258 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:11:40.461489+05:30
%A Shakti Kundu
%A M L Garg
%T Emerging Role of Data Scientist in Big Data
%J International Journal of Computer Applications
%@ 0975-8887
%V 123
%N 3
%P 15-18
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the world of Twitt, Text or Image, we have a huge amount of data. Social media, Digital Pictures, Video etc. also resulting in collection of enormous amount of data and the growth rate of data is still in running phase. In terms of figures, daily we are producing 2.5 quintal byte data in which most of the contribution comes from companies, businesses and corporate institutions. The interesting point is the companies from the world wide are using only 5% of the gathered and produced data. No doubt to handle such huge volume of data is not an easy task. so actually who do this job? The answer is the new specialist in terms of technicality i.e. Data Scientist. To gather data received from Digital Pictures, Social Media, E-mails, Live Chats, Data Warehouses, Videos, Sensors, Purchase Transaction record which are used for various business activities such as Product Design, Marketing, Sales or Distribution and on the basis of data gathering to take better decision is the responsibility of Data Scientist. The Data Scientist having multi skills such as Mathematicians, Numerologist, Analyst and Technologist work in various areas of Energy, E-commerce, Healthcare in progressive manner and they are in huge demand. The role of data scientist in the field of big data was highlighted in this paper.

References
  1. Loukides, Mike, "What is data science?", Available at: http://radar.oreilly.com/2010/06/what-is-data- science.html.
  2. IBM Expert (2014) About data scientists, Available at: http:// www-01.ibm.com/software/data / infosphere /data-scientist/ (Accessed: 12th May2015).
  3. Available at: Dainik Bhaskar Haryana Hindi Edition article dated 08jun2012.
  4. A.B.Karthick, Anand Babu, D.Maghesh Kumar and G.RajaRaja Cholan, “Visualization for STEM Subjects”, Cover Story Available at: CSI Communications, Nov-2014.
  5. Available at: http://www.datascientists.net/what-is-data-science
  6. The Journal of Data Science, Contents of Volume 1, Issue 1, Available at: http://www.jds-online.com/v1-1.
  7. Available at: http://www.stat.purdue.edu/~wsc/
  8. Available at: Dainik Bhaskar Haryana Hindi Edition article dated 03Apr2015.
  9. Plagiarism Checker | Viper Plagiarism Scanner, Available at: http://www.scanmyessay.com/
  10. Dr. Prithwis Mukerjee, “Learning Data Science – A Do-It-yourself Approach”, Available at: CSI Communications, July-2014.
  11. Visualization for BigData, Available at: http:// www.datameer.com/product/datavisualization.html
  12. Data Visualization: Making Big Data Approachable and Valuable, Whitepaper, Source: IDG Research Services, August 2012.
  13. Taking the First Steps Toward Data Quality by Elizabeth Dial, Technical Solution Architect, IBM Corporation, Available at: http://www.ibm.com/developerworks/data/library/dmmag/DMMag_2010_Issue2/FeatureDataQuality/index.html
Index Terms

Computer Science
Information Sciences

Keywords

Analysis Big Data Data Science Model Process Web