具有组合公式的多维数据仓库
Multidimensional Datawarehouse with Combination Formula
摘要：
数据仓库中的多维是一种强制性，成为信息传递的最重要部分，没有多维的数据仓库中的多维是一种强制性，成为信息传递的最重要部分，没有多维的数据仓库是不完整的。多维提供了以多种不同方式分析业务度量的能力。多维也是联机分析处理（OLAP）的同义词。通过使用数据仓库中的切片、向下钻取、向上卷取等概念，提高了多维数据仓库的能力。本文的研究问题和讨论是数据仓库中每个事实表的多维能力有多深。利用统计组合公式，探讨了超立方体中各维所能产生的组合、维组合的整体、最小组合和最大组合。
英文摘要：
Multidimensional in data warehouse is a compulsion and become the most important for information delivery, without multidimensional Multidimensional in data warehouse is a compulsion and become the most important for information delivery, without multidimensional datawarehouse is incomplete. Multidimensional give ability to analyze business measurement in many different ways. Multidimensional is also synonymous with online analytical processing (OLAP). By using some concepts in datawarehouse like slice-dice,drill down and roll up will increase the ability of multidimensional datawarehouse. The research question and the discussing for this paper are how much deepest the multidimensional ability from each fact table in datawarehouse. By using the statistic combination formula we try to explore the combination that can be yielded from each dimension in hypercubes, the entire of dimensi combination, minimum combination and maximum combination.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
