https://pure.iiasa.ac.at/id/eprint/14337 2021-08-27T17:28:29Z info:eu-repo/semantics/descriptiveMetadata https://pure.iiasa.ac.at/id/eprint/14337/ Modeling Global-scale Data Marts Based on Federated Data Warehousing Application Framework Ngo, N.S. Nguyen, B.T. 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. Springer International Publishing Huyn, V.M. Inuiguchi, M. Le, B. Le, B.N. Denoeux, T. 2016-10-29 Book Section PeerReviewed 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>. 10.1007/978-3-319-49046-5_38 10.1007/978-3-319-49046-5_38 10.1007/978-3-319-49046-5_38 info:eu-repo/semantics/humanStartPage