Data Warehousing And Cloud Computing

1664 WordsJun 25, 20157 Pages
INTRODUCTION This paper clearly illustrates the concepts of Data warehousing and Cloud computing. It also discusses the benefits and disadvantages of implementing Data Warehouse in a Cloud. Both cloud computing and data warehousing are the latest trends in modern computing. DWH is an integrated software component of the cloud and it provides timely support and accurate response to complex queries with Online Analytical Processing (OLAP) and data mining tools. Cloud computing provides reasonable speed of services in a less period of time when it is compared to in-house data warehouse deployment. Reduced cost, a pay-per-use payment model and backups are also made available by cloud computing. Besides these there are several challenges when deploying data warehouses in the cloud. These challenges may include security, computational and network problems. These problems are mainly caused often due to incompatible nature of functional requirements to deploy DWH in the cloud environment. Cloud providers offer a low-end node for computations and a local data warehousing systems is good in terms of CPU, memory and disk bandwidth. Growing need of cloud computing will allow its evolution more in future to accommodate critical DWH. The evolving nature of cloud computing and DWH will help the small and medium sized businesses. EXPLANATION OF PAPER A common feature of data warehouse on which most of the scholars agree upon is that a data warehouse acts as storage of historical data. This
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