A study of big data characteristics

Bit by bit analysis and research on big data has become a hot cake for many organisations and can be more helpful for the industries like banking, e-commerce, insurance, manufacturing etc. to facilitate their customers. Traditionally, when the data was low in volume, it was easily managed and processed by traditional technologies. These technologies are incapable of handling it as big data differs in terms of volume, velocity and value as compared to the other data. Researchers & practitioner have identified, defined and explored big data in terms of its characteristics including volume, velocity, variety, value, virality, volatility, visualization, viscosity and validity. But these studies have been proven to be insufficient because of the growing issues repeated day by data. This paper has identified & defined three new characteristics of big data to be explored further to handle big data efficiently.

I. Introduction

Big data is a collection of data sets or a combination of data sets. The concept of big data has been endemic within digital communication and information science since the earliest days of computing. Big data is growing day by day because data is created by everyone and for everything from mobile devices, call centers, web servers, and social networking sites, etc [1]. But the challenge is that it is too large, too fast and hard to handle for traditional database and existing technologies. Many organizations gather the massive amounts of data generated from high-volume transactions like call centers, sensors, web logs, and digital images. The success of their business depends on meeting big data challenges while continually improving operational efficiency.