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Integrated Model-Driven Development of Goal-Oriented Data Warehouses and Data Marts

机译:综合模型驱动的目标数据仓库和数据集市的开发

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摘要

A corporate data warehouse is a repository that provides decision makers with a large amount of historical data concerning the overall enterprise strategy. In order to customize the data warehouse, many organizations develop concrete data marts focused on a particular department or business process. However, their integrated development is still an open problem for many organizations due to the technical and organizational challenges involved during the design of these repositories as a complete solution. Therefore, we present here a design approach in order to build both the corporate data warehouse and data marts from user's requirements in an integrated way. Our approach consists on linking information requirements to specific data marts elicited by using the goal-oriented requirement engineering, which are automatically translated into the implementation of the corresponding data repositories by means of model-driven engineering techniques. Its great advantage is that user's requirements are captured since the very-early development stages of a data-warehousing project in order to automatically translate them into the entire data-warehousing platform.
机译:企业数据仓库是一种存储库,为具有大量历史数据提供了关于整体企业策略的决策者。为了定制数据仓库,许多组织开发专注于特定部门或业务流程的具体数据集市。然而,由于在将这些存储库设计为完整解决方案期间涉及的技术和组织挑战,它们的综合发展仍然是许多组织的开放问题。因此,我们在这里介绍一种设计方法,以便以综合方式从用户的要求建立企业数据仓库和数据集市。我们的方法包括将信息要求与使用目标导向的需求工程引发的特定数据集市组成,通过模型驱动的工程技术自动转化为相应的数据存储库的实现。它的优点是用户的要求被捕获了数据仓库项目的非常早期的开发阶段,以便自动将它们转换为整个数据仓库平台。

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