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Recent Development in Big Data Analytics: Research Perspective

Recent Development in Big Data Analytics: Research Perspective
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Author(s): M. Sandeep Kumar (Vellore Institute of Technology, India)and Prabhu J. (Vellore Institute of Technology, India)
Copyright: 2018
Pages: 25
Source title: Applications of Security, Mobile, Analytic, and Cloud (SMAC) Technologies for Effective Information Processing and Management
Source Author(s)/Editor(s): P. Karthikeyan (Thiagarajar College of Engineering, India)and M. Thangavel (Thiagarajar College of Engineering, India)
DOI: 10.4018/978-1-5225-4044-1.ch012

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Abstract

This chapter describes how big data consist of an extreme volume of data, velocity, and more complex variable data that demands current technology changes in capturing, storage, distribution, management, analysis data. Business facing more struggles in identifying the pragmatic approach in capturing the data about customer, products, and services. Usage of big data mainly with the analytical method, but it specifically compares with features of an analytical method based on unstructured data contributed around 95% of big data. The analytical approach depends on heterogeneous data and unstructured data's like text, audio, video format. It demands new effective tool for predictive analysis for big data with the unstructured format. This chapter describes explanation of big data and characteristics of big data compress of Volume, Velocity, Variety, Variability, and Value. Recent trends in the development of big data that applies in real time application perspectives like health care agriculture, education etc.

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