CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

An Outlook on Big Data and Big Data Analytics

by Swapnil Lokhande, Nilay Khare
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 124 - Number 11
Year of Publication: 2015
Authors: Swapnil Lokhande, Nilay Khare
10.5120/ijca2015905658

Swapnil Lokhande, Nilay Khare . An Outlook on Big Data and Big Data Analytics. International Journal of Computer Applications. 124, 11 ( August 2015), 37-41. DOI=10.5120/ijca2015905658

@article{ 10.5120/ijca2015905658,
author = { Swapnil Lokhande, Nilay Khare },
title = { An Outlook on Big Data and Big Data Analytics },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 124 },
number = { 11 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 37-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume124/number11/22151-2015905658/ },
doi = { 10.5120/ijca2015905658 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:14:10.199768+05:30
%A Swapnil Lokhande
%A Nilay Khare
%T An Outlook on Big Data and Big Data Analytics
%J International Journal of Computer Applications
%@ 0975-8887
%V 124
%N 11
%P 37-41
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The rapid growth in the field of technology in the last 10 years has generated a large amount of data which is structured, semi structured, as well as unstructured in nature. This large amount of data has been generated by the excessive use of the Internet, the growing popularity of the social networking sites like Facebook, Twitter, Quora, Linkedin etc and there are many more reasons behind this abrupt growth of data. The emerging trend of E-commerce in last few years has fastened the rate of growth of the data. The data has been growing rapidly in Volume, Variety, Velocity and Veracity. This emerging trend coined the term Big Data. The Big Data is often unstructured and real-time analysis is required to analyze and process the data. This evaluation calls for the new system architecture for the storage, transmission, analysis and processing of the data. In this paper we present a literature survey of the Big Data and Big Data analytics. The paper is divided into various sections which comprises of the definition of Big Data and its growing importance, Big Data challenges and Big Data Analytics. We also present a detailed survey of analytics platform like Apache Hadoop. Finally we delineate the evaluation and research direction for the Big Data System.

References
  1. Susan Gunelius, “The Data Explosion in 2014 Minute by Minute– Infographic, July 2014. Available : http://aci.info/2014/07/12/the-data-explosion-in-2014-minute-by-minute-infographic/.
  2. Available: http://www.internetlivestats.com/google- search-statistics/#trend.
  3. J. Gantz and D. Reinsel, ``The digital universe in 2020: Big data, bigger digital shadows, and biggest growth in the far east,'' in Proc. IDC iView, IDC Anal. Future, 2012.
  4. Chris Snijders, Uwe Matzat1, Ulf-Dietrich Reips, ““Big Data”: Big Gaps of Knowledge in the Field of Internet Science”, International Journal of Internet Science 2012, 7 (1), 1–5, ISSN 1662-5544.
  5. James Manyika, Michael Chui, Brad Brown, Jacques Bughin, Richard Dobbs, Charles Roxburgh, Angela Hung Byers, “Big data: The next frontier for innovation, competition, and productivity”, Mckinsey Global Institute, May 2011.
  6. P. Zikipoulos, T. Deutsch, D. Deroos, Harness the Power of Big Data, 2012. Available: http://www.ibmbigdatahub.com/blog/harness-power-big-data-book-excerpt
  7. HAN HU, YONGGANG WEN, TAT-SENG CHUA, AND XUELONG LI, "Toward Scalable Systems for Big Data Analytics: A Technology Tutorial", volume 2, 2014.
  8. Available: http://www.sqlstream.com/stream-processing/.
  9. “Real-Time Stream Processing as Game Changer in a Big Data World with Hadoop and Data Warehouse”.
  10. Available: http://storm-project.net/.
  11. Available: http://kafka.apache.org/design.html.
  12. J. Dean and S. Ghemawat, ``Mapreduce: Simplified data processing on large clusters,'' Commun. ACM, vol. 51, no. 1, pp. 107-113, 2008.
  13. Available: http://sloanreview.mit.edu/article/how-big-data-is-different/.
  14. Kalil, Tom. "Big Data is a Big Deal". White House. Retrieved 26 September 2012.
  15. Executive Office of the President (March 2012). "Big Data Across the Federal Government". White House.
  16. Lampitt, Andrew. "The real story of how big data analytics helped Obama win". Infoworld.
  17. "News: Live Mint". Are Indian companies making enough sense of Big Data?. Live Mint - http://www.livemint.com/.
  18. "Manufacturing: Big Data Benefits and Challenges". TCS Big Data Study. Mumbai, India: Tata Consultancy Services Limited.
  19. Couldry, Nick; Turow, Joseph (2014). "Advertising, Big Data, and the Clearance of the Public Realm: Marketers’ New Approaches to the Content Subsidy". International Journal of Communication.
  20. Layton, Julia. "Amazon Technology". Money.howstuffworks.com.
  21. "Data, data everywhere". The Economist, 25 February 2010.
  22. Wingfield, Nick (2013-03-12). "Predicting Commutes More Accurately for Would-Be Home Buyers - NYTimes.com".
  23. Elena Geanina ULARU, Florina Camelia PUICAN, Anca APOSTU, Manole VELICANU, "Perspectives on Big Data and Big Data Analytics", Database Systems Journal vol. III, no. 4/2012
  24. What Is Apache Hadoop? Available: https://hadoop.apache.org/.
Index Terms

Computer Science
Information Sciences

Keywords

Big Data Big Data Analytics stream processing batch processing Apache Hadoop.

Powered by PhDFocusTM