分析转换后的多维物理数据模型。
物理数据模型——物理表和列的蓝图。
Physical data models - Blueprint of your physical tables and columns.
还可以把逻辑数据模型转换为物理数据模型。
You can also take a logical data model and transform that into a physical data model.
将多维逻辑数据模型转换为多维物理数据模型
Transforming the dimensional logical data model to dimensional physical data model
物理数据模型是数据库特定的，代表数据库模式。
Physical data models are database specific and represent the database schema.
模型(Model)-支持概念、逻辑和物理数据模型。
Model - Supporting conceptual, logical, and physical data modeling.
把逻辑数据模型转换为物理数据模型有两种方法。
There are a couple of different ways to transform a logical data model to a physical data model.
将非标准化多维逻辑数据模型转换为多维物理数据模型。
Transform de-normalized dimensional logical data model to dimensional physical data model.
数据架构包括概念、逻辑和物理数据模型及其元数据模型。
The data architecture includes conceptual, logical and physical data models and its metadata models.
为了取得垂直对齐，这应该与用于生成数据模式的物理数据模型一致。
For vertical alignment, this should be consistent with the physical data model that is used to generate the database schema.
编程序地遍历和修改rda逻辑数据模型和物理数据模型。
Programmatically traverse and modify IDA logical data model and physical data model.
物理数据模型的生成也保留术语表分类，准备好发布到元数据服务器。
Generation to physical data retains glossary classifications, ready for publication to metadata server.
右键单击物理数据模型节点，然后从上下文菜单中选择Import。
Right-click on the physical data model node and select Import from the context menu.
这种方法迫使您在逻辑与物理数据模型之间进行同步，本文后面会讲到。
This approach forces you to make a synchronization between the logical and physical data models, but this article covers that later.
这里只能选逻辑数据模型，因为我们选择了转换物理数据模型。
The logical data model is the only option in this case because we selected a physical data model to be transformed.
将多维物理数据模型转换为Cubing或Cognos模型。
Transforming the dimensional physical data model to a Cubing or Cognos model.
到目前为止，已经介绍了逻辑数据模型、领域模型和物理数据模型的概念。
You have so far seen the concept of logical data models, domain models, and physical data models.
现在，可以把物理数据模型拖到源框中，把XML模式文档拖到目标框中。
Now you can drag and drop your physical data model to the source, and in the target box you can drag and drop your XML schema document.
RDA还通过物理数据模型的摘录支持被部署的数据库的可视化。
RDA also supports visualization of deployed databases through the extraction of physical data models.
此阶段涉及到服务、组件、底层物理数据模型和数据库对象的开发。
This phase involves the development of services, components, the underlying physical data model, and database objects.
有了空白物理数据模型之后，就可以以这个模型为起点做许多工作。
Now that you have your blank physical data model, there is a lot that you can do to get started with this model.
现在看看如何修改物理数据模型，并从物理数据模型创建DDL。
Now look at how you can change your physical data model and create DDL from the physical data model.
物理数据模型的生成也保留术语表分类，准备好发布到元数据服务器。
Generation to physical data model also retains glossary classifications, ready for publication to metadata server.
修改物理数据模型需要展开要修改的对象，进行修改，然后保存模型。
Making any changes to your physical data model involves expanding to the object that you want to change, making the changes, and then saving the model.
关联隐私元数据应该是一次只能关联一个连接，除非物理数据模型改变。
Associating the privacy metadata should be a one-time-per-connection activity, unless the physical data model changes.
物理数据模型是与数据库系统以及您将使用的数据仓库工具紧密相关的。
The physical data model is tightly related to the database system and data warehouse tools that you will use.
我们看看在已经定义了逻辑数据模型的情况下，如何创建物理数据模型。
Look at how to create a physical data model if you have a logical data model that is already defined.
乍一看来，这似乎是件坏事，但是这使您可以从一个逻辑模型生成多个物理数据模型。
This may be seem like a bad thing at first, but it enables you to generate multiple physical data models from the same logical model.
在本小节，我们继续将非标准化多维逻辑数据模型转换为多维物理数据模型。
In this section, we are going to transform the de-normalized dimensional logical data model to dimensional physical data model.
为了确保转换后的多维物理数据模型符合企业标准，总是建议您对模型进行分析。
To make sure the transformed dimensional physical data model is compliant with enterprise standards, analyzing the model is always recommended.
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