Next Generation Data Warehouse Design with Big data for Big Analytics and Better Insights
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.
Downloads
- Article PDF
- TEI XML Kaleidoscope (download in zip)* (Beta by AI)
- Lens* NISO JATS XML (Beta by AI)
- HTML Kaleidoscope* (Beta by AI)
- DBK XML Kaleidoscope (download in zip)* (Beta by AI)
- LaTeX pdf Kaleidoscope* (Beta by AI)
- EPUB Kaleidoscope* (Beta by AI)
- MD Kaleidoscope* (Beta by AI)
- FO Kaleidoscope* (Beta by AI)
- BIB Kaleidoscope* (Beta by AI)
- LaTeX Kaleidoscope* (Beta by AI)
How to Cite
Published
2013-03-15
Issue
Section
License
Copyright (c) 2013 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.