Cloud-based data warehousing application framework for modeling global and regional data management systems

Nguyen B (2013). Cloud-based data warehousing application framework for modeling global and regional data management systems. In: Advanced Computational Methods for Knowledge Engineering. Eds. Nguyen, NT, Do, T Van & Thi, HA Le, Switzerland pp.319-327: Springer International Publishing. DOI:10.1007/978-3-319-00293-4_24.

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Abstract

In this paper, a Cloud-based Data Warehousing Application (CDWA) Framework is proposed to handle multi levels in structures of data management systems, i.e. global data warehouse and its data marts on the clouds. First, a Cloud-based Multidimensional Model, i.e. dimensions and theirs related concepts, variables or facts, data cubes, is specified in a very formal manner. Afterwards, to fulfill global and regional specific requirements of data management systems, the Cloud-based Data Warehousing Application Framework and its classes of services are modeled by using UML (Unified Modeling Language) to design a centralized global data warehouse and its local regional data marts. In this context, an implementation example is presented in order to proof of our conceptual framework.

Item Type: Book Section
Uncontrolled Keywords: Data Warehousing (DHW); OLAP; CDWA Framework; Multidimensional Data Model; UML ETL;
Research Programs: Mitigation of Air Pollution (MAG)
Air Quality & Greenhouse Gases (AIR)
Bibliographic Reference: In: NT Nguyen, T Van Do, HA Le Thi (Eds); Advanced Computational Methods for Knowledge Engineering; Springer International Publishing, Switzerland pp.319-327
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Depositing User: IIASA Import
Date Deposited: 15 Jan 2016 08:49
Last Modified: 04 Apr 2016 10:18
URI: http://pure.iiasa.ac.at/10579

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