Federated data warehousing application framework and platform-as-a-services to model virtual data marts in the clouds
by Thanh Binh Nguyen; Fabian Wagner; Wolfgang Schoepp
International Journal of Intelligent Information and Database Systems (IJIIDS), Vol. 8, No. 3, 2014

Abstract: Each federated data warehousing system contains a data warehouse and a class of data marts. Building and maintaining such systems are painful processes. In this paper, we propose our approach to improve these processes. First, a cloud-based federated data warehousing system architecture, description of which is specified in a formal manner, is introduced. Afterwards, Unified Modelling Language (UML) is used to design the conceptual model. In this context, a cloud-based federated data warehousing application framework and its components, i.e., global data warehouse and linked virtual data marts, as well as its services, i.e., platform-as-a-services, software-as-a-services are modelled. Hereafter, the GAINS model is presented as an implementation example to proof of our concepts.

Online publication date: Sun, 11-Jan-2015

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