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Linking Discrete Dimensions to Enhance Dimensional Analysis

机译:链接离散维度以增强维度分析

摘要

Not all facts in a data warehouse are described by the same set of dimensions. However, there can be associations between the data dimensions and other dimensions. By maintaining a set of relationships that are capable of linking the dimensional keys used in existing data to the keys of an associated dimension, a data transformation can be constructed that summarizes by the original and by the associated dimensions in feeds in an analytical data mart (cube) that includes all the dimensions. This cube can then be consolidated and analyzed in a slice-and-dice fashion as though all the dimensions were independent. Data transformed in this manner can be analyzed alongside data from a source that is keyed by all of the dimensions.
机译:并非数据仓库中的所有事实都由同一组维度来描述。但是,数据维度和其他维度之间可能存在关联。通过维护一组能够将现有数据中使用的维键链接到关联维的键的关系,可以构建数据转换,该数据转换通过分析数据集市中提要中的原始维和关联维进行汇总(立方体),包括所有尺寸。然后,可以像多维数据集那样将所有多维数据集独立地合并和分析。可以将以这种方式转换的数据与来自所有维度的键控源中的数据一起进行分析。

著录项

  • 公开/公告号US2019188211A1

    专利类型

  • 公开/公告日2019-06-20

    原文格式PDF

  • 申请/专利权人 JDA SOFTWARE GROUP INC.;

    申请/专利号US201916278533

  • 发明设计人 ANDREW KENNEY;CARLYN EVANS;

    申请日2019-02-18

  • 分类号G06F16/28;

  • 国家 US

  • 入库时间 2022-08-21 12:09:53

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