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Reseach Article

Big Challenges? Big Data …

by Sahil R. Kalra, Aarati Mahajan
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 11
Year of Publication: 2015
Authors: Sahil R. Kalra, Aarati Mahajan
10.5120/ijca2015907452

Sahil R. Kalra, Aarati Mahajan . Big Challenges? Big Data …. International Journal of Computer Applications. 131, 11 ( December 2015), 14-18. DOI=10.5120/ijca2015907452

@article{ 10.5120/ijca2015907452,
author = { Sahil R. Kalra, Aarati Mahajan },
title = { Big Challenges? Big Data … },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 11 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 14-18 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number11/23492-2015907452/ },
doi = { 10.5120/ijca2015907452 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:27:01.694268+05:30
%A Sahil R. Kalra
%A Aarati Mahajan
%T Big Challenges? Big Data …
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 11
%P 14-18
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In today‘s world, every tiny gadget is a potential data source, adding to the huge data bank. Every day, we create 2.5 quintillion bytes of data – structured and unstructured, so much that 90% of the data in the world today has been created in the last two years alone. This data generated through large customer transactions, social networking sites is varied, voluminous and rapidly generating. All this data prove a storage and processing crisis for the enterprises. While more data enables realistic analysis and thus help in making accurate business decisions / goals, it is equally difficult to manage and analyze such a huge amount of data. This document provides insights on the challenges of managing such a huge Data – popularly known as Big Data, the solutions offered by Big Data management tools/ techniques and the opportunities it has created.

References
  1. Douglas, Laney. "The Importance of 'Big Data': A Definition". Gartner. Retrieved 21 June 2012.
  2. Jean Yan, April 9, 2013 ―Big Data, Bigger Opportunities Bowman, M., Debray, S. K., and Peterson, L. L. 1993. Reasoning about naming systems.
  3. Oracle: http://www.oracle.com/technetwork/database
  4. Digital Magazine Information Week, available at: http://www.informationweek.com/big-data-analytics.asp
  5. SAS: http://www.sas.com/en_us/insights/big-data/what-is-big-data.html
  6. SAS: http://www.sas.com/resources/asset/Big-Data-in-Big-Companies
  7. Oreilly: http://strata.oreilly.com/2012/01/what-is-big-data.html
  8. Tom White, “Meet Hadoop, ” in Hadoop: The definitive guide, 3rd Edition, California: O‟Reilly Media, 2012, ch.1, pp. 9-15
  9. What Is Apache Hadoop? Available: https://hadoop.apache.org/
Index Terms

Computer Science
Information Sciences

Keywords

Hadoop ParAccel Storm GridGain MapReduce HPCC Systems Hortonworks Dremel Apache Drill Calpont Oracle TimesTen GreenplumHD Zettaset Stratosphere Big Data Big Data Challenges Big Data Analytical Tools Big Data and Traditional BI Analytics Big Data Opportunities Three V’s of Big Data

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