Finding your way through multidimensional data models

M. Blaschka, C. Sapia, G. Höfling, Barbara Dinter
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引用次数: 116

Abstract

Multidimensional database technology is becoming more and more important in conjunction with data warehouses and OLAP analysis. What is still lacking is a commonly accepted formal foundation. Such a model can serve as a basis for future research and standardization. Recently a multitude of interesting proposals on this topic have been published. OLAP applications have some special requirements that do not apply to other areas of multidimensional analysis (e.g. GIS, PACS). We list requirements that a formal model and a corresponding query language must fulfill to be suitable for OLAP. We compare four approaches that come closest to our requirements. After a brief description we discuss their suitability as a formal foundation for OLAP, thus providing a systematic overview. Finally, we propose directions for further research.
探索多维数据模型
多维数据库技术与数据仓库和OLAP分析相结合,变得越来越重要。仍然缺乏的是一个普遍接受的正式基础。这样的模型可以作为未来研究和标准化的基础。最近,关于这个话题发表了许多有趣的建议。OLAP应用程序有一些特殊的需求,这些需求不适用于其他多维分析领域(例如GIS、PACS)。我们列出了适合OLAP的正式模型和相应的查询语言必须满足的要求。我们比较了最接近我们需求的四种方法。在简要描述之后,我们将讨论它们是否适合作为OLAP的正式基础,从而提供一个系统的概述。最后,提出了进一步研究的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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