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Constructing OLAP cubes based on queries

机译:基于查询构造OLAP多维数据集

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An On-Line Analytical Processing (OLAP) user often follows a train of thought, posing a sequence of related queries against the data warehouse. Although their details are not known in advance, the general form of those queries is apparent beforehand. Thus, the user can outline the relevant portion of the data posing generalised queries against a cube representing the data warehouse.Since existing OLAP design methods are not suitable for non-professionals, we present a technique that automates cube design given the data warehouse, functional dependency information, and sample OLAP queries expressed in the general form. The method constructs complete but minimal cubes with low risks related to sparsity and incorrect aggregations. After the user has given queries, the system will suggest a cube design. The user can accept it or improve it by giving more queries. The method is also suitable for improving existing cubes using respective real MDX queries.
机译:在线分析处理(OLAP)用户经常遵循一系列思路,对数据仓库提出一系列相关查询。尽管它们的详细信息事先未知,但这些查询的一般形式是预先显而易见的。因此,用户可以概述数据的相关部分,以对代表数据仓库的多维数据集进行通用查询。由于现有的OLAP设计方法不适合非专业人士,因此我们提出了一种在数据仓库功能正常的情况下自动进行多维数据集设计的技术依赖项信息,以及以普通形式表示的示例OLAP查询。该方法构建完整但数量最少的多维数据集,具有与稀疏性和不正确聚合有关的低风险。用户提出查询后,系统将建议一个多维数据集设计。用户可以接受或通过提供更多查询来改进它。该方法还适合于使用相应的真实MDX查询来改进现有多维数据集。

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