Analyze transformed dimensional physical data model.
分析转换后的多维物理数据模型。
Transforming the dimensional physical data model to a Cubing or Cognos model.
将多维物理数据模型转换为Cubing或Cognos模型。
Transforming the dimensional logical data model to dimensional physical data model
将多维逻辑数据模型转换为多维物理数据模型
Right-click on the physical data model node and select Import from the context menu.
右键单击物理数据模型节点，然后从上下文菜单中选择Import。
Programmatically traverse and modify IDA logical data model and physical data model.
编程序地遍历和修改rda逻辑数据模型和物理数据模型。
You can also take a logical data model and transform that into a physical data model.
还可以把逻辑数据模型转换为物理数据模型。
Transform de-normalized dimensional logical data model to dimensional 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。
The discovery allows users to analyze the objects that are part of the physical data model.
发现了现有数据库之后，用户可以对作为物理数据模型的一部分的对象进行分析。
Transform the physical data model into a logical model by completing the following steps.
完成以下步骤，将物理模型转换成逻辑模型。
There are a couple of different ways to transform a logical data model to a physical data model.
把逻辑数据模型转换为物理数据模型有两种方法。
Now look at how you can change your physical data model and create DDL from the physical data 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。
The objective is not to limit data modeling to a single database and its related physical data model.
规范化数据模型的目的不是将数据建模限定在单个的数据库和它的相关物理数据模型上。
Look at how to create a physical data model if you have a logical data model that is already defined.
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。
He makes changes to the logical model, and then transforms that model back into a physical data model.
Tom使用RationalDataArchitect将物理模型转换为逻辑模型，并更改逻辑模型。
Seven rules are added in InfoSphere data Architect V7.5.3 for dimensional physical data model validation.
在InfoSphereDataArchitectV7.5.3中添加了七个规则，均可用于多维物理数据模型验证。
The data architect can then associate these atomic domains to physical columns in the physical data model.
接下来，数据架构师将这些原子域与物理模型中的物理列关联起来。
Developers using ODS can then associate this physical data model with their individual database connections.
然后，开发人员可以使用ODS将这个物理数据模型与他们的数据库连接关联起来。
First he locates the desired columns in the (previously created) physical data model, the DatabaseModel.dbm.
他首先在先前创建的物理数据模型DatabaseModel.dbm 中找到所需的列。
The physical data model is tightly related to the database system and data warehouse tools that you will use.
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 first is to use the well-known MDM Server data extension mechanism, which alters the physical data model.
第一种是使用众所周知的MDMServer数据扩展机制，这将修改物理数据模型。
Now that you have your blank physical data model, there is a lot that you can do to get started with this model.
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。
Generation to physical data model also retains glossary classifications, ready for publication to metadata server.
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。
The logical data model is the only option in this case because we selected a physical data model to be transformed.
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。
Other than in IBM MDM Server (see Resources), the domain model cannot simply be deduced from its physical data model.
域模型不在IBMMDMServer（参见参考资料）内，且不能简单地从其物理数据模型推导而来。
This phase involves the development of services, components, the underlying physical data model, and database objects.
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。
Associating the privacy metadata should be a one-time-per-connection activity, unless the physical data model changes.
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。
Specify the Cubing model generated above and the target as the database node of the physical data model, then click Next.
指定上面生成的Cubing模型和目标作为物理数据模型的数据库节点，然后单击Next。
Tom now associates the domain models with the specific columns in the physical data model that represent the GSDB schema.
现在，Tom将域模型与表示GSDB模式的物理数据模型中的特定列关联起来。
You can add more database-specific information to the dimensional physical data model, but we will not introduce much here.
您可以将更多特定于数据库的信息添加到多维物理数据模型，但是我们此处不做过多介绍。
For vertical alignment, this should be consistent with the physical data model that is used to generate the database schema.
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。
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