Federated data warehousing application framework and platform-as-a-services to model virtual data marts in the clouds. (1st January 2014)

• Record Type: Journal Article
• Authors: Nguyen, Thanh Binh; Wagner, Fabian; Schoepp, Wolfgang
• Is Part Of: International journal of intelligent information and database systems. Volume 8:Number 3(2014)
• Page Start: 280
• Page End: 294
• Publication Date: 2014-01-01
• Subjects: federated -- data warehouse -- DWH -- data mart -- DM -- greenhouse gas – air pollution interactions and synergies -- GAINS -- optimisation -- Unified Modelling Language -- UML -- online analytical processing -- OLAP; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• DOI: 10.1504/IJIIDS.2014.066635
• Languages: English
• ISSNs: 1751-5858

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.