维度建模与终端用户和业务过程紧密相关。
Dimension modeling is tightly associated with end users and business processes.
维度建模有助于优化数据仓库的查询与分析。
Dimensional modeling helps us optimize our warehouse data for queries and analysis.
有两种基本的数据模型是可以在维度建模中使用的。
There are two basic data models that can be used in dimensional modeling.
维度建模通常在收集了业务需求之后，首先指定事实和维度。
Dimensional modeling typically begins by identifying facts and dimensions, after the business requirements have been gathered.
维度建模包括三个关键部分：事实表、维度表、以及汇总表。
A dimensional model has three key parts: the fact tables, the dimension tables, and the summary tables.
维度建模的目标是优化数据仓库数据，以便业务用户轻松查询和分析。
The goal of dimensional modeling is to optimize warehouse data for easy queries and analysis by business users.
我在上一专栏中讨论了为何以及怎样利用维度建模，在数据仓库中组织数据。
My last column discussed why and how we use dimensional modeling to organize the data in a data warehouse.
我的上两个专栏讨论了我们使用维度建模来组织数据仓库中的数据的原因和方式。
My last two columns discussed why and how we use dimensional modeling to organize the data in a data warehouse.
这种方法只能用于维度数据源，如olap数据或维度建模关系型(DMR)数据源。
This method applies to dimensional data sources only such as OLAP sources or dimensionally modelled relational (DMR) sources.
维度建模最重要的活动之一就是捕获聚集路径或终端用户执行上卷和下钻所依照的聚集层次结构。
One of the essential activities of dimension modeling is to capture the aggregation paths or aggregation hierarchies along which end users perform roll-up and drill-down.
它是一种图形建模工具，用于提供对向图表添加维度和值的流程模型属性的即时访问。
It is a graphical modeling tool that is organized to provide instant access to process model attributes that add dimension and value to the diagram.
说明：Dimensionally modeledrelational (DMR)建模是IBMCognosFrameworkManager提供的一个功能，允许指定关系元数据的维度信息。
Note: Dimensionally modeled relational (DMR) modelling is a capability that IBM Cognos Framework Manager provides allowing you to specify dimensional information for relational metadata.
首先，建模一个拥有Integer类型数组属性的模型，它的维度是[3][4]。
First, construct a model having an attribute which is of type Integer array, whose dimensions are [3] [4].
因为本文没有包括ER建模，所以本小节将讨论维度数据建模，这是数据集市设计中最重要的数据建模方法。
Since ER modeling is not included in this article, this section will discuss dimensional data modeling, which is the most important data modeling methodology in data mart design.
雪花型模型易于数据建模师的理解以及数据库设计师用于维度的分析。
The snowflake model is easy for data modelers to understand and for database designers to use for the analysis of dimensions.
多维度分析的第一步是为数据建模以适应用户的分析需求。
The first step of dimensional analysis is to model your data to suit the user's analysis needs.
整个Section4都关于设计维度数据库，该手册很好地概述了维度数据建模和使用Informix实现一个维度数据库设计。
The entire Section 4 is on designing dimensional databases, and the manual offers a very good overview of dimensional data modeling and implementing a dimensional database design with Informix.
针对高维几何布局问题中布局物体的建模问题，提出2-叉树方法，在一般维度下系统地给出了抽象物体的叉树表示法的构造。
With the modeling problem of layout items in high dimensional layout problem as the application object, this paper introduces the concept of 2n-tree representation.
在LC模型中，OLAP建模中的维度和度量都被统一成类型。类型分为非层次维和层次维。
In LC model, the measure and dimension are united to type, which is divided into non-layer and layer dimensions.
在LC模型中，OLAP建模中的维度和度量都被统一成类型。类型分为非层次维和层次维。
In LC model, the measure and dimension are united to type, which is divided into non-layer and layer dimensions.
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