relation: https://pure.iiasa.ac.at/id/eprint/14337/
title: Modeling Global-scale Data Marts Based on Federated Data Warehousing Application Framework
creator: Ngo, N.S.
creator: Nguyen, B.T.
description: Data warehouses become large in size, dynamic, and physically distributed. In this context, federated data warehousing approach is a promising solution for specifying, designing, deploying as well as managing data marts and their data cubes. In this paper, the Federated Data warehousing Application (FDWA) framework has been used to specify global-scale data marts. To proof of our concepts, a global-scale analytical tool, namely GAINS-IAM (integrated assess model) will be presented as a case study to analyze recent trends and future world emission scenarios.
publisher: Springer International Publishing
contributor: Huyn, V.M.
contributor: Inuiguchi, M.
contributor: Le, B.
contributor: Le, B.N.
contributor: Denoeux, T.
date: 2016-10-29
type: Book Section
type: PeerReviewed
identifier:   Ngo, N.S. & Nguyen, B.T. <https://pure.iiasa.ac.at/view/iiasa/216.html> ORCID: https://orcid.org/0000-0002-2260-8186 <https://orcid.org/0000-0002-2260-8186>  (2016).  Modeling Global-scale Data Marts Based on Federated Data Warehousing Application Framework.    In:  Integrated Uncertainty in Knowledge Modelling and Decision Making. Eds. Huyn, V.M., Inuiguchi, M. <https://pure.iiasa.ac.at/view/iiasa/1340.html>, Le, B., Le, B.N., & Denoeux, T., pp. 447-456 Cham, Switzerland: Springer International Publishing.  ISBN 978-3-319-49046-5 10.1007/978-3-319-49046-5_38 <https://doi.org/10.1007/978-3-319-49046-5_38>.     
relation: 10.1007/978-3-319-49046-5_38
identifier: 10.1007/978-3-319-49046-5_38
doi: 10.1007/978-3-319-49046-5_38