全球智库信息集成服务系统(G2TT): Towards the development of large-scale data warehouse application frameworks.

G2TT

来源类型	Book Section
DOI	10.1007/978-3-642-28827-2_7
	Towards the development of large-scale data warehouse application frameworks.
	Hoang DTA; Tran H; Nguyen B; Tjoa AM; Moeller, C.; Chaudhry, S.
发表日期	2012
出处	Re-conceptualizing Enterprise Information Systems. Eds. Moeller, C. & Chaudhry, S. , New York: Springer. DOI: 10.1007/978-3-642-28827-2_7 .
出版年	2012
语种	英语
摘要	Facing with growing data volumes and deeper analysis requirements, current development of Business Intelligence (BI) and Data warehousing systems (DWHs) is a challenging and complicated task, which largely involves in ad-hoc integration and data re-engineerng. This arises an increasing requirement for a scalable application framework which can be used for the implementation and administration of diverse BI appliations in a straight forward and cost-efficient way. In this context, this paper presents a large-scale application framework for standardized BI applications, suporting the ability to define and construct data warehouse processes, new data analytics capabilities as well as to support the deployment requirements of multiscalable front-end applications. The core of the framework consists of defined metadata repositories with pre-built and function specific information templates as well as application definition. Moreover, the application framework is also based on workflow mechanisms for developing and running automatic data processing tasks. Hence, the framework is capable of offering an unified reference architecture to end users, which spans various aspects of development lifecycle and can be adapted or extended to better meet application- specific BI engineering process.
主题	Mitigation of Air Pollution (MAG) ; Air Quality & ; Greenhouse Gases (AIR)
关键词	Application framework Business intelligence Data warehouses Large-scale development
URL	http://pure.iiasa.ac.at/id/eprint/10072/
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/134210
推荐引用方式 GB/T 7714	Hoang DTA,Tran H,Nguyen B,et al. Towards the development of large-scale data warehouse application frameworks.. 2012.