Traditional Vs Cloud Data warehouse – Comparative Analysis & Survey paper

Abstract

In recent years due to the emerging of technologies, data amount is getting increase day by day. The mode and methods of data handling are getting upgraded. Prediction analysis seems to be very difficult but it generates interesting results. Various sectors like health, transport, education and economics are providing large amount of data. Recent developments in web technologies made it possible for operator and researcher to analyze and forecast that huge amount of data. The domain of BI (business intelligence) is core technology which help its users to extract meaningful information for decision making regarding any business. Data warehouse offers an insight view of business processes using previously provided data. Still, this traditional data warehouse system is not suitable for data analysis as it doesn't meet the requirements of evolving industries of this age. It cannot provide the up or down scale. Plus, it cannot handle the growing number of users. A new form of data warehouse has developed having better design and features, known as cloud data warehouse. This system has evolved in recent years, which directly affects the business and application domain as well. It has evolved in such a way to control large-scale data and provide up and down scale of business anytime. Moreover, it can handle a large number of users. In this review paper, comparison of traditional and cloud data warehouse is provided.