Service message model (canonical data models)
服务消息模型（规范数据模型）
We just went from one version of data models to another.
我们刚刚从一个版本的数据模型转到另一个版本的数据模型。
RDA can create logical, physical, and domain data models.
RDA可以创建逻辑、物理和领域数据模型。
Alternate data models are easily supported, as shown here.
可以很容易地支持备用数据模型，如下所示。
Business names are used in conceptual or logical data models.
业务名称用在概念性或逻辑数据模型中。
These preferences apply to all data models in your workspace.
这些首选项应用于您的工作空间中的所有数据模型。
Messaging between services and data models is closely related.
服务和数据模型之间的消息传递紧密相关。
Physical data models - Blueprint of your physical tables and columns.
物理数据模型——物理表和列的蓝图。
In most organizations, these data models are at the enterprise levels.
在大多数组织中，这些数据模型处于企业级别。
For example, translation systems between data models must be designed.
例如，我们必须设计数据模型之间的转换系统。
The project needs to consider, at least in part, existing data models.
项目需要考虑已有的数据模型（至少需要考虑一部分）。
First, we declare two data models instead of one as shown in listing 3.
首先，我们将声明两个数据模型(而不是一个)，如清单3所示。
It can also ease the mapping from business requirements to data models.
它还可以简化业务需求与数据模型之间的映射。
The data models must have sufficient detail as required by the service.
数据模型必须具有服务所需的足够的详细信息。
Model (XML) - Well defined API XML resources represent the data models.
模型(xml)—使用定义良好的API XML资源来表示数据模型。
Let me bracket XML for a few moments by talking about abstract data models.
我先将XML搁置一边来讨论一些抽象的数据模型。
It also helps in synchronization of logical data models and physical models.
它还有助于实现逻辑数据模型和物理模型的同步。
Physical data models are database specific and represent the database schema.
物理数据模型是数据库特定的，代表数据库模式。
RDA explicitly supports glossary modeling during the definition of data models.
rda显式地支持数据模型定义期间的术语表建模。
There is one more thing we need to consider before creating our new data models.
在创建新数据模型之前，还有一件事需要考虑。
This eventually helps drive the definition of conceptual and logical data models.
这会帮助驱动概念和逻辑数据模型的定义。
Metadata definitions (data models) are too loosely and not consistently specified.
元数据定义(数据模型)过于松散，指定不一致。
The method described in this tutorial is the IIW roadmap for developing data models.
本教程中描述的方法是用于开发数据模型的IIW路线图。
You can collect the data models by re-engineering and integrating source data models.
您可以通过重新构建和集成源数据模型来收集数据模型。
RDA supports the comparison and synchronization of data models across the enterprise.
RDA支持在企业范围内比较和同步数据模型。
The advanced profile provides the comprehensive details on the process and data models.
高级配置文件提供了更详细的流程及数据模型的信息。
Logical data models are used for creating the blueprint needed to design your database.
逻辑数据模型用来创建设计数据库所需的蓝图。
For the complete set of W3C RDF Schema data models and specifications, refer to Resources.
要获取全套W3CRDFSchema数据模型和规范，请参阅参考资料。
The techniques of data analysis can impact the type of data models selected and their content.
数据分析技术可以影响所选择的数据模型的类型及其内容。
A prime example is physical data models that directly manipulate SQL data Definition Language.
一个很好的例子就是直接操作SQL数据定义语言的物理数据模型。
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