Open AccessBig Data Analytics for Deriving Business Intelligence Rules
Author(s) -
Chandrashekar D K*,
K R Venugopal,
K. C. Srikantaiah
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.a4636.119119
Subject(s) - big data , nosql , business intelligence , data science , computer science , analytics , scalability , volume (thermodynamics) , data analysis , business analytics , database , data mining , business model , electronic business , business , physics , quantum mechanics , marketing
Big data is a large volume of data pool and processing and analyzing these data is tedious jobs. The aim of fulfilling huge information storage needs is that the structural transformation of repository system using traditional approaches to NoSQL technology. However, the existing technologies for storage are inefficient since, they do not generated data that are scalable, consistent and solutions for rapidly evolving diversified data. The primary method for storing huge amounts of data is used for analytics in real time applications like healthcare, scientific experiments, e-business and networks. In this paper, it is in sighted the characteristics, application, tools of big data, Technologies, Big data analytics, challenges and issues in Big data.