Authors: Singh Vijendra
Addresses: Department of Computer Science and Engineering, School of Engineering and Technology, The NorthCap University, Gurgaon 122017, India
Abstract: Big data has evolved as a most challenging area in scientific study and research. It has drawn much attention during the last few years. It influences our modern society, business, government, healthcare, research and almost every discipline. In this data-driven era, where data is continuously acquired from a verity of sources for different purposes, the ability to make timely decisions based on available data is a very critical task. The massive data size, variety, velocity, accuracy and high dimensionality presents new challenges to big data. This paper attempts to present some challenges of big data. In addition, a study on the conceptual design of big data architecture presented on specific big data applications. In this paper, we presented research work on big data analytics techniques in the areas of text, sentiment, video, social media and predictive analytics. A comparative analysis on selected big data applications has been presented in detail.
Keywords: big data; volume; variety; velocity; veracity; variability; outliers; big data architecture; unstructured data; sentiment; predictive; visualisation; big data analytics.
International Journal of Social Computing and Cyber-Physical Systems, 2016 Vol.1 No.4, pp.356 - 386
Received: 23 Feb 2017
Accepted: 18 Apr 2017
Published online: 25 Jun 2017 *