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Big Data: The V's of the Game Changer Paradigm

92 citations0/0 files storedIEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS)

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Big Data Technologies and Applications Big Data and Business Intelligence Big Data and Digital Economy

Abstract

The Big Data is the most prominent paradigm now-a-days. The Big Data starts rule slowly from 2003, and expected to rule and dominate the IT industries at least up to 2030. Furthermore, the Big Data conquer the technological war and easily capture the entire market since 2009. The Big Data is blasting everywhere around the World in every domain. The Big Data, a massive amount of data, able to generate billions of revenue. The secret behind of these billions of revenue is ever growing volume. This paper presents the redefinition of volume of Big Data. The volume is redefined by engaging three other V's, namely, voluminosity, vacuum, and vitality. Furthermore, this paper augments two new V's to the Big Data paradigm, namely, vendee and vase. This paper explores all V's of Big Data. There are lots of controversy and confusion regarding V's of Big Data. This paper uncovers the confusions of the V family of the Big Data.

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References

2014Data-intensive applications, challenges, techniques and technologies: A survey on Big Data 2015Social big data: Recent achievements and new challenges 2015Significance and Challenges of Big Data Research 2014Defining architecture components of the Big Data Ecosystem 2015Understandable Big Data: A survey 2014Seven V's of Big Data understanding Big Data to extract value 2015Rethinking big data: A review on the data quality and usage issues

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2021An Intelligent Approach for Data Analysis and Decision Making in Big Data: A Case Study on E-commerce Industry 2022Social big data, sociología y ciencias sociales computacionales 2022Digital Innovation: The Challenges of a Game-Changer 2022Exploring the recent trends in Big Data Analysis

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