Data mart modeling is driven by business requirements.
数据集市的建模是由业务需求驱动的。
Data mart modeling is greatly affected by data analysis technologies.
数据集市的建模极大地受到了数据分析技术的影响。
The data mart modeling process depends on many factors. Three of the most important are described below.
数据集市的建模过程取决于许多因素。
End users must be involved in the data mart modeling process, as they obviously are the ones who will use the data mart.
终端用户必须参与数据集市的建模过程，因为他们显然是要使用该数据集市的人。
Since warehouse end users interact directly with data marts, the data mart modeling is one of the most effective tools in capturing end-user business requirements.
因为仓库终端用户直接与数据集市进行交互，所以数据集市的建模是捕获终端用户业务需求的最有效工具之一。
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.
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.
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。
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