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Article . 2020
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5V’s of Big Data Attributes and their Relevance and Importance across Domains

Authors: Vinaya Keskar,; Jyoti Yadav; Ajay H. Kumar;

5V’s of Big Data Attributes and their Relevance and Importance across Domains

Abstract

“Data is an ocean of Universal Facts”. Big data once an emergent technology of study is in its prime with immense potential for future technological advancements. A formal study in the attributes of data is essential to build robust systems of the future. Data scientists need a basic foot hold when studying data systems and their applications in various domains. This paper intends to be THE go-to resource for every student and professional desirous to make an entry in the field of Big Data. This paper has two focus areas. The first area of focus is the detailing of the 5 V attributes of data i.e. Volume, Variety, Velocity, Veracity and Value. Secondly, we will endeavor to present a domain wise independent as well as comparative of the correlation between the 5 V’s of Big Data. We have researched and collected information from various market watch dogs and concluded by carrying out comparatives which are highlighted in this publication. The domains we will mention are Wholesale Trade Domain, Retail Domain, Utilities Domain, Education Domain, Transportation Domain, Banking and Securities Domain, Communication and Media Domain, Manufacturing Domain, Government Domain, Healthcare Domain, etc. This is invaluable information for Big Data system designers as well as future researchers.

Keywords

5V's, Big Data, Data Attribute, Quantity, Reliability, Volume, Variety, Velocity, Veracity, Value, Worth

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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