客户组织可以定义其数据模型，还能对那些符合其接口和需求的计算解决方案进行投标。
A customer organization can define its data model and tender for competing solutions that conform to its interfaces and meet its requirements.
清单4展示了更新数据模型的方法。
逻辑数据模型主要由包和实体组成。
The logical data model primarily consists of packages and entities.
数据模型描述数据元素的结构。
物理数据模型——物理表和列的蓝图。
Physical data models - Blueprint of your physical tables and columns.
业务名称用在概念性或逻辑数据模型中。
Business names are used in conceptual or logical data models.
它主要用于逻辑数据模型。
这会帮助驱动概念和逻辑数据模型的定义。
This eventually helps drive the definition of conceptual and logical data models.
注意，转换模式不会改变基本的数据模型。
Note that switching the modes does not change the underlying data model.
表单的输入部件表示与其数据模型分离开来。
The input widget presentation of the form is decoupled from its data model.
静态数据API是基于输入数据模型生成的。
Static data APIs are generated based on the input data model.
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
RDA可以创建逻辑、物理和领域数据模型。
请注意：映射工具不会修改原来的数据模型文件。
Note: the mapping utility will not modify the original data model files.
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.
ARTS数据模型的逻辑视图中避免使用缩写词。
The logical view of the ARTS Data Model avoids abbreviations.
概念数据模型是从最高层抽象看到的规范化数据模型。
A conceptual data model is a canonical data model viewed at the highest level of abstraction.
您可以通过重新构建和集成源数据模型来收集数据模型。
You can collect the data models by re-engineering and integrating source data models.
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.
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.
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.
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.
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.
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.
这是因为他们在与一个可怕的数据模型抗争，是这个数据模型差点要了我的命。
It was because they were fighting a horrible data model. It was that data model that nearly killed me.
最后，数据模型还与拓扑处理程序连接起来，以将初始实例的值读取到数据模型中。
Last, the data model is coupled with the topology handler to read initial instance values into the data model.
现在我们已经将通过多维符号生成的多维物理数据模型添加到源多维逻辑数据模型中。
Now we have the dimensional physical data model generated with the dimensional notations added to the source dimensional logical data model.
如前所述，当更改逻辑数据模型或物理数据模型时，它们中的另一方并不会自动更新。
As mentioned before, the logical and physical data models are not automatically updated when you change one of them.
数据模型常常不是从头创建的，而是从现有的数据库体系结构创建数据模型。
Data models that are not created from scratch are usually created from an existing architecture of the database.
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