Editor/Reviewer loginFrequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 6 Issue 1
Business Intelligence for Big Data Analytics
Tomas Ruzgas,Jurgita Dabulyt?-Bagdonavi?ien?
10.7753/IJCATR0601.1001
keywords : big data, business intelligence, grid computing
This article introduces methods and tools which are designed for analyzing Big Data. In the present research, the most popular software tool opportunities have been compared and the differences and advantages have been identified for Business Intelligence (BI) analytics according to the dominant market requirements of BI. The article also presents the technologies of fast calculation processing, including architecture of in-memory and grid computing
@artical{t612017ijcatr06011001,
Title = "Business Intelligence for Big Data Analytics",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "6",
Issue ="1",
Pages ="1 - 8",
Year = "2017",
Authors ="Tomas Ruzgas,Jurgita Dabulyt?-Bagdonavi?ien?"}
The paper introduces methods and tools which are designed for analyzing Big Data.
The most popular software tool opportunities have been compared
The differences and advantages have been identified for Business Intelligence analytics according to the dominant market requirement
The article presents the technologies of fast calculation processing, including architecture of in-memory and grid computing.