Cloud-based Data Warehouse Management Systems

Abstract

Cloud computing is becoming increasingly popular as it enables users to save both development and deployment time. It also reduces the operational costs of using and maintaining the systems. Moreover, it allows the use of any resources with elasticity instead of predicting workload which may be not accurate. There are many technologies that can be merged with Cloud computing to gain more benefits. One of these technologies is data warehousing, which can benefit from this trend when it’s used to save large amounts of data with unpredictable sizes and if used in distributed environments. Large amounts of data are generated daily, according to the wide usage of social media websites, scientific data and all live matters; these amounts of data should be utilized. The Big data storage is one of the most critical tasks as it will affect the data access, analysis, retrieve and also query answering process so it can help decision makers but the traditional database concepts are insufficient. Cloud computing is very essential in big data storage process, as big data will utilize the cloud features as the elasticity. One of the most beneficial algorithms to deal with the big data is the MapReduce algorithm. In this thesis a system is presented which consists of: a cloud based view allocation algorithm