Big Data : The Futuristic Promising Savoir

Authors(3) :-Tawseef Ayoub Shaikh, Umar Badr Shafeeque, Maksud Ahamad

Big Data, a new jackpot in the world of vocabulary is the recent hot term which has made itself omnipresent in debate and occupied its place on almost every lip. Data as usual is somehow known to everyone and now that data is not only data, it's Big Data. Big but how much? "Big Data" is typically considered to be a data collection that has grown so large it can't be effectively or affordably managed (or exploited) using conventional data management tools: e.g., classic relational database management systems (RDBMS) or conventional search engines, depending on the task at hand. Big Data is more a concept than a precise term. Some apply the "Big Data" label only to petabyte-scale data collections (> one million GB). For others, a Big Data collection may house ‘only' a few dozen terabytes of data. More often, however, Big Data is defined situation ally rather than by size. Specifically, a data collection is considered "Big Data" when it is so large an organization cannot effectively or affordably manage or exploit it using conventional data management tools. Why is Big Data different from any other data that we have dealt with in the past? IBM defined Big Data having 4 V's as its key characteristics such as: Volume, Velocity, Variety, and Veracity.

Authors and Affiliations

Tawseef Ayoub Shaikh
Department of Computer Engineering, Aligarh Muslim University, Uttar Pradesh, India
Umar Badr Shafeeque
Department of Computer Engineering, Aligarh Muslim University, Uttar Pradesh, India
Maksud Ahamad
Department of Computer Engineering, Aligarh Muslim University, Uttar Pradesh, India

Big Data, RDBMS, IDC, IoT, CSP, Healthcare, Security

  1. Big Data Analytics by Dr Arvind Sethi
  2. Big Data Analytics by Kim H. Pries and Robert Dunnigan
  3. Analytics: The real-world use of big data Tom Inman, Vice President, IBM Software Group.
  4. Last visited 09-01-2018].
  5. TP. Oberst, "Applications in Finance for BIG DATA", Advanced Strategic Technology, pp: 3-18, March 18, 2015.
  6. Peter Groves, Basel Kayyali, David Knott, Steve Van Kuiken, "The big data revolution in health care," enter for US Health System,Reform Business Technology Office, published in January 2013.
  7. S. Kavitha, RP. Vadhana and AN. Nivi," BIG DATA ANALYTICS IN FINANCIAL MARKET", IJRET: International Journal of Research in Engineering and Technology, Vol: 04 Issue: 02, pp: 422-427, Feb-2015.
  8. "Data-driven healthcare organizations use big data analytics for big gains" by IBM software.
  9. D. Dua , L. Aihua and L. Zhangb "Survey on the Applications of Big Data in Chinese Real Estate Enterprise", 1st International Conference on Data Science, ICDS 2014, Procedia Computer Science, Elsevier, Vol: 30, pp: 24-33, 2014.
  10. "Deep learning applications and challenges in big data analytics" by Maryam M Najafabadi, Flavio Villanustre, Taghi M Khoshgoftaar, Naeem Seliya, Randall Wald and Edin Muharemagic.
  11. MR. Bendre, RC. Thool and VR. Thool, "Big data in precision agriculture: Weather forecasting for future farming", 1st International Conference on Next Generation Computing Technologies (NGCT), pp: 4-5, Sept. 2015.
  12. L. Einav "The Data Revolution and Economic Analysis", Stanford University and NBER Jonathan Levin, National Bureau of Economic Research, pp: 1-24, 2014.

Publication Details

Published in : Volume 3 | Issue 1 | January-February 2018
Date of Publication : 2018-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 516-521
Manuscript Number : CSEIT183196
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Tawseef Ayoub Shaikh, Umar Badr Shafeeque, Maksud Ahamad, "Big Data : The Futuristic Promising Savoir", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.516-521, January-February-2018.
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