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Data Integration in the Large: The Challenge of Reuse

机译:大量数据集成:重用的挑战

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Much published research on data integration considers only a "one shot" effort to produce an integrated schema or a multidatabase query. This paper examines a more complex environment. Our clients carry out multiple integration efforts, producing multiple kinds of integrated systems that involve overlapping subsets of their component databases. Metadata is costly to collect and maintain, so one wishes to reuse it wherever possible. We thus must devise ways to reuse integration metadata across integration efforts, though the efforts may have different goals and may concern overlapping subsets of the components. This paper identifies and examines issues of maximizing information and code reuse by organizations facing data integration in the large.
机译:关于数据集成的许多已发表的研究仅考虑生成集成架构或多立架查询的“一拍摄”。本文审查了更复杂的环境。我们的客户提供多种集成工作,产生多种集成系统,涉及其组件数据库的重叠子集。元数据是收集和维护的昂贵,所以有人希望尽可能重用它。因此,我们必须设计在整合工作中重用集成元数据的方法,尽管努力可能具有不同的目标,并且可能关注组件的重叠子集。本文识别并审视了面临大型数据集成的组织最大化信息和代码重用的问题。

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