Next Generation Data Warehouse Design with Big data for Big Analytics and Better Insights

Authors

  • P Renjith Kumar

  • Lt. Dr. Santhosh Baboo

Keywords:

big data, big data analytics, business i ntelligence, real time analytics

Abstract

Traditionally organizations invested more in decision support systems. With the evolution of business intelligence tools many organizations were able to get analytical reports based on OLAP systems. Now with the frequently changing trends in customer behaviour and customer markets there is a huge necessity for enterprises to get analytical reports beyond OLAP system based analysis. There is huge innovation in the area of hardware and software which helps enterprises to gain advantage of all available formats of data and help enterprise to get business insights based on that data. Big data is one of the key factors to be focused which can help to get real time analytics on all available formats of data. This document presents the overview of the next generation data warehouse architecture based on Big data for better business insights.

How to Cite

P Renjith Kumar, & Lt. Dr. Santhosh Baboo. (2013). Next Generation Data Warehouse Design with Big data for Big Analytics and Better Insights. Global Journal of Computer Science and Technology, 13(C7), 19–23. Retrieved from https://computerresearch.org/index.php/computer/article/view/180

Next Generation Data Warehouse Design with Big data for Big Analytics and Better Insights

Published

2013-03-15