Open Access5V’s of Big Data Attributes and their Relevance and Importance across Domains
Author(s) -
Vinaya Keskar,
Jyoti Yadav,
Ajay H. Kumar
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.k7709.0991120
Subject(s) - domain (mathematical analysis) , relevance (law) , big data , data science , variety (cybernetics) , computer science , field (mathematics) , focus (optics) , government (linguistics) , resource (disambiguation) , data mining , artificial intelligence , political science , mathematics , mathematical analysis , computer network , linguistics , philosophy , physics , optics , pure mathematics , law
“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.