Big data characteristics, challenges, architectures, analytics and applications: a review. Issue 4 (2016)

• Record Type: Journal Article
• Authors: Vijendra, Singh
• Is Part Of: International journal of social computing and cyber-physical systems. Volume 1:Issue 4(2016)
• Page Start: 356
• Page End: 386
• Publication Date: 2016
• Subjects: big data -- volume -- variety -- velocity -- veracity -- variability -- outliers -- big data architecture -- unstructured data -- sentiment -- predictive -- visualisation -- big data analytics; Computers -- Social aspects -- Periodicals; Information technology -- Social aspects -- Periodicals; Computer systems -- Periodicals; Social networks -- Periodicals; 303.4834
• Languages: English
• ISSNs: 2040-0721

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.