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Metadata integration architecture in enterprise data warehouse system

机译:企业数据仓库系统中的元数据集成架构

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Due to the increasing complexity of data warehouses, a centralized and declarative management of metadata is essential for data warehouse administration, maintenance and usage. Metadata integration architecture is technical system architecture to achieve metadata management strategy. In this paper, under the background of China Pacific Insurance Company (CPIC) building enterprise data warehouse(EDW) project, we research on metadata integration architecture. First, three kinds of metadata integration architecture were introduced, include: centralized architecture, federal architecture, distributed architecture. Next, applying the federal architecture, we proposed CPIC EDW metadata integration planning. Then again, using CouchDB as the backend, we have developed a metadata management system based on document. As an important enhancements, document based metadata stored in CouchDB in company with metadata stored in MetaStage, constitute the overall CPIC EDW global metadata storage. Finally, we concluded that: ①at this stage, metadata management system in enterprise data warehouse should adopt a federal integration architecture; ② Document based metadata stored in CouchDB can be an important supplementary of the global metadata repository.
机译:由于数据仓库的复杂性日益增加,对数据仓库的管理,维护和使用而言,元数据的集中式和声明式管理至关重要。元数据集成架构是实现元数据管理策略的技术系统架构。本文在中国太平洋保险公司(CPIC)建设企业数据仓库(EDW)项目的背景下,对元数据集成架构进行了研究。首先,介绍了三种元数据集成架构,包括:集中式架构,联邦架构,分布式架构。接下来,应用联邦体系结构,我们提出了CPIC EDW元数据集成计划。然后,再次使用CouchDB作为后端,我们开发了一个基于文档的元数据管理系统。作为一项重要的增强功能,公司存储在CouchDB中的基于文档的元数据与存储在MetaStage中的元数据一起构成了整个CPIC EDW全局元数据存储。最后,我们得出以下结论:①现阶段,企业数据仓库中的元数据管理系统应采用联邦集成架构; ②存储在CouchDB中的基于文档的元数据可以作为全局元数据存储库的重要补充。

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