全球智库信息集成服务系统(G2TT): Modeling Global-scale Data Marts Based on Federated Data Warehousing Application Framework.

G2TT

来源类型	Book Section
DOI	10.1007/978-3-319-49046-5_38
	Modeling Global-scale Data Marts Based on Federated Data Warehousing Application Framework.
	Ngo NS; Nguyen BT; Huyn, V.M.; Inuiguchi, M.; Le, B.; Le, B.N.; Denoeux, T.
发表日期	2016
出处	Integrated Uncertainty in Knowledge Modelling and Decision Making. Eds. Huyn, V.M. , Inuiguchi, M. , Le, B. , Le, B.N. & Denoeux, T. , pp. 447-456 Cham, Switzerland: Springer International Publishing. ISBN 978-3-319-49046-5 DOI: 10.1007/978-3-319-49046-5_38 .
出版年	2016
语种	英语
摘要	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.
主题	Air Quality & ; Greenhouse Gases (AIR)
关键词	FDWA (Federated Data Warehousing Application) GAINS (Greenhouse Gas - Air Pollution Interactions and Synergies) Global-scale data mart Greenhouse Gases (GHGs) IAM (Integrated Assess Model)
URL	http://pure.iiasa.ac.at/id/eprint/14337/
来源智库	International Institute for Applied Systems Analysis (Austria)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/134533
推荐引用方式 GB/T 7714	Ngo NS,Nguyen BT,Huyn, V.M.,et al. Modeling Global-scale Data Marts Based on Federated Data Warehousing Application Framework.. 2016.