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Model-Driven Metadata for OLAP Cubes from the Conceptual Modelling of Data Warehouses

机译:来自数据仓库概念建模的OLAP多维数据集的模型驱动元数据

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The development of a data warehouse is based on the definition of a conceptual multidimensional model. This model is used to obtain the required database metadata for implementing the data-warehouse repository. Surprisingly, current approaches for multidimensional modelling overlook the necessity of generating additional data-cube metadata to allow end-user tools to query the data warehouse. To overcome this situation, we propose an approach based on "model-driven engineering" techniques in order to automatically derive both kinds of metadata in a systematic and integrated way. Specifically, in this paper, we describe how to obtain the data-cube metadata for "on-line analytical processing" (OLAP) tools. As a proof of concept, our approach has been implemented in the Eclipse development platform, thus showing its feasibility.
机译:数据仓库的开发基于概念性多维模型的定义。该模型用于获取实现数据仓库存储库所需的数据库元数据。令人惊讶的是,当前的多维建模方法忽略了生成附加数据多维数据集元数据以允许最终用户工具查询数据仓库的必要性。为了克服这种情况,我们提出了一种基于“模型驱动工程”技术的方法,以便以系统和集成的方式自动导出两种元数据。具体来说,在本文中,我们描述了如何为“在线分析处理”(OLAP)工具获取数据多维数据集元数据。作为概念证明,我们的方法已在Eclipse开发平台中实现,因此显示了其可行性。

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