Volume & Issue no: Volume 6, Issue 1, January - February 2017
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Title: |
DATA ANALYTICS APPLICATION USED IN THE FIELD OF BIG DATA FOR SECURITY INTELLIGENCE |
Author Name: |
Prof. Amar Nath Singh, Er. Anurag Pattanayak, Er. Gyanachanda Samantaray |
Abstract: |
ABSTRACT
The term Big Data refers to large-scale information
management and analysis technologies that exceed the
capability of traditional data processing technologies. Big
Data is differentiated from traditional technologies in three
ways: the amount of data (volume), the rate of data generation
and transmission (velocity), and the types of structured and
unstructured data (variety). Human beings now create 2.5
quintillion bytes of data per day. The rate of data creation has
increased so much that 90% of the data in the world today has
been created in the last two years alone.2 This acceleration in
the production of information has created a need for new
technologies to analyze massive data sets. The urgency for
collaborative research on Big Data topics is underscored by
the U.S. federal government’s recent $200 million funding
initiative to support Big Data research. This paper describes
how the incorporation of Big Data is changing security
analytics by providing new tools and opportunities for
leveraging large quantities of structured and unstructured
data.
Key Words:-Data Analytics, Big data, Traditional
approach, Collaborative approach, Structured and
Unstructured data. |
Cite this article: |
Prof. Amar Nath Singh, Er. Anurag Pattanayak, Er. Gyanachanda Samantaray , "
DATA ANALYTICS APPLICATION USED IN THE FIELD OF BIG DATA FOR SECURITY INTELLIGENCE" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) ,
Volume 6, Issue 1, January - February 2017 , pp.
081-084 , ISSN 2278-6856.
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