This paper is published in Volume-3, Issue-6, 2017
Area
Big Data
Author
Sandhiya .B, Ramya Devi .N, A. Deepalakshmi
Org/Univ
Sri Shakthi Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India
Pub. Date
08 November, 2017
Paper ID
V3I6-1176
Publisher
Keywords
Big Data, 3 V‘s, Sentiment Analysis, Data Visualization, Integration, Data Democratization, Encryption.

Citationsacebook

IEEE
Sandhiya .B, Ramya Devi .N, A. Deepalakshmi. Analysis on Big Data Concepts and Applications, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Sandhiya .B, Ramya Devi .N, A. Deepalakshmi (2017). Analysis on Big Data Concepts and Applications. International Journal of Advance Research, Ideas and Innovations in Technology, 3(6) www.IJARIIT.com.

MLA
Sandhiya .B, Ramya Devi .N, A. Deepalakshmi. "Analysis on Big Data Concepts and Applications." International Journal of Advance Research, Ideas and Innovations in Technology 3.6 (2017). www.IJARIIT.com.

Abstract

The term, Big Data‘ has been coined to refer to the gargantuan bulk of data that cannot be dealt with by traditional data-handling techniques. Big Data is still a novel concept, and in the following literature, we intend to elaborate it in a palpable fashion. It commences with the concept of the subject in itself along with its properties and the two general approaches to dealing with it. The comprehensive study further goes on to elucidate the applications of Big Data in all diverse aspects of the economy and being. The utilization of Big Data Analytics after integrating it with digital capabilities to secure business growth and its visualization to make it comprehensible to the technically apprenticed business analyzers has been discussed in depth. Aside from this, the incorporation of Big Data in order to improve population health, for the betterment of finance, telecom industry, food industry and for fraud detection and sentiment analysis have been delineated. The challenges that are hindering the growth of Big Data Analytics are accounted for in depth in the paper. This topic has been segregated into two arenas- one being the practical challenges faces whilst the other being the theoretical challenges. The hurdles of securing the data and democratizing it has been elaborated amongst several others such as inability in finding sound data professionals in required amounts and software that possess an ability to process data at a high velocity. Through the article, the authors intend to decipher the notions in an intelligible manner embodying in text several use-cases and illustrations.