DATA ANALYTICS APPLICATION USED IN THE FIELD OF BIG DATA FOR SECURITY INTELLIGENCE

Prof. Amar Nath Singh,  Er. Anurag Pattanayak, Er. Gyanachanda Samantaray

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 governmentâ€™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.

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 governmentâ€™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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