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首页> 外文会议>International Conference on Conceptual Modeling; 20061106-09; Tucson,AZ(US) >A Set of QVT Relations to Assure the Correctness of Data Warehouses by Using Multidimensional Normal Forms
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A Set of QVT Relations to Assure the Correctness of Data Warehouses by Using Multidimensional Normal Forms

机译：一组QVT关系，通过使用多维范式来确保数据仓库的正确性

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摘要

It is widely accepted that a requirement analysis phase is necessary to develop data warehouses (DWs) which adequately represent the information needs of DW users. Moreover, since the DW integrates the information provided by data sources, it is also crucial to take these sources into account throughout the development process to obtain a consistent representation. In this paper, we use multidimensional normal forms to define a set of Query/View/Transformation (QVT) relations to assure that the DW designed from user requirements agrees with the available data sources that will populate the DW. Thus, we propose a hybrid approach to develop DWs, i.e., we firstly obtain the conceptual schema of the DW from user requirements and then we verify and enforce its correctness against data sources by using a set of QVT relations based on multidimensional normal forms.
机译：众所周知，需求分析阶段对于开发足以代表DW用户信息需求的数据仓库（DW）是必需的。此外，由于DW集成了数据源提供的信息，因此在整个开发过程中考虑这些源以获取一致的表示形式也至关重要。在本文中，我们使用多维范式来定义一组查询/视图/转换（QVT）关系，以确保根据用户要求设计的DW与填充DW的可用数据源一致。因此，我们提出了一种开发DW的混合方法，即首先从用户需求中获得DW的概念图，然后通过使用基于多维范式的一组QVT关系来验证和加强其对数据源的正确性。

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