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首页> 外文会议>ER 2003 Workshops on Conceptual Modeling for Novel Application Domains ECOMO, IWCMQ, AOIS, and XSDM; Oct 13, 2003; Chicago, IL, USA >Multidimensional Schemas Quality: Assessing and Balancing Analyzability and Simplicity
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Multidimensional Schemas Quality: Assessing and Balancing Analyzability and Simplicity

机译：多维模式质量：评估和平衡可分析性和简单性

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摘要

A data warehouse is a database focused on decision making. Decision makers typically access data warehouses through OLAP tools, based on a multidimensional representation of data. In the past, the key issue of data warehouse quality has often been centered on data quality. However, since OLAP tool users directly access multidimensional schemas, multidimensional schema quality evaluation is also crucial. This paper focuses on the quality of multidimensional schemas, more specifically on the analyzability and simplicity criteria. We present the underlying multidimensional model and address the problem of measuring and finding the right balance between analyzability and simplicity of multidimensional schemas. Analyzability and simplicity are assessed using quality metrics which are described and illustrated based on a case study. The main objective of our approach is to provide the data warehouse designer with precise measures to support him in the choice among several alternative multidimensional schemas.
机译：数据仓库是专注于决策的数据库。决策者通常基于数据的多维表示，通过OLAP工具访问数据仓库。过去，数据仓库质量的关键问题通常集中在数据质量上。但是，由于OLAP工具用户直接访问多维模式，因此多维模式质量评估也至关重要。本文着重于多维模式的质量，更具体地说是可分析性和简单性标准。我们提出了基础的多维模型，并解决了测量和找到多维模式的可分析性与简单性之间正确平衡的问题。使用质量度量标准评估可分析性和简单性，并基于案例研究进行描述和说明。我们方法的主要目的是为数据仓库设计人员提供精确的措施，以支持他在几种替代的多维模式中进行选择。

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