Federated data warehousing application framework and platform-as-a-services model virtual data marts in the clouds

Nguyen, B. ORCID: https://orcid.org/0000-0002-2260-8186, Wagner, F. ORCID: https://orcid.org/0000-0003-3429-2374, & Schoepp, W. ORCID: https://orcid.org/0000-0001-5990-423X (2014). Federated data warehousing application framework and platform-as-a-services model virtual data marts in the clouds. International Journal of Intelligent Information and Database Systems 8 (3) 280-294. 10.1504/IJIIDS.2014.066635.

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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.

Item Type: Article
Uncontrolled Keywords: federated; data warehouse; DWH; data mart; DM; greenhouse gas - air pollution interactions and synergies; GAINS; optimisation; Unified Modelling Language; UML; online analytical processing; OLAP
Research Programs: Air Quality & Greenhouse Gases (AIR)
Mitigation of Air Pollution (MAG)
Bibliographic Reference: International Journal of Intelligent Information and Database Systems; 8(3):280-294 (January 2014) (Published online 2 January 2015)
Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:50
Last Modified: 22 Apr 2021 05:00
URI: http://pure.iiasa.ac.at/10781

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