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

机译:面向目标的数据仓库和数据市场的集成模型驱动开发

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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:公司数据仓库是为决策者提供有关整个企业战略的大量历史数据的存储库。为了定制数据仓库,许多组织开发了针对特定部门或业务流程的具体数据集市。但是,由于在将这些存储库设计为完整解决方案时涉及到技术和组织方面的挑战,因此对于许多组织来说,它们的集成开发仍然是一个未解决的问题。因此,我们在这里提出一种设计方法,以便根据用户需求以集成方式构建公司数据仓库和数据集市。我们的方法包括通过使用面向目标的需求工程将信息需求链接到特定的数据集市,然后通过模型驱动的工程技术将其自动转换为相应数据存储库的实现。它的巨大优势在于,从数据仓库项目的早期开发阶段就捕获了用户的需求,以便将其自动转换为整个数据仓库平台。

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