但是这些协议缺少到SOAP目标模型的映射。
But these protocols lack a mapping to the SOAP targeting model.
该窗口显示了转换推荐形式的到目标模型的变更。
This window shows the changes to the target model suggested by the transformation.
该转换唯一的参数是Web项目和目标模型。
The only parameters to this transformation are the Web project and the target model.
目标模型包也需要被复制到CognosBI10。
The target model package will also need to be copied to Cognos BI 10.
该机制从本质上使得目标模型的指定部分看起来如同模式。
The mechanism essentially makes the specified part of the target model look like the pattern.
在你的转换中，关联计划是目标模型，调和将为它产生值。
In your transformation, the relational schema is the target model, for which the reconciliation will produce values.
发布到内容存储库的应用程序模型包(即，目标模型包)。
The application model package published to the content store (i.e. the target model package).
应用协议以后，对源模型的任何更改都会扩大到目标模型中。
With this protocol applied, any changes to the source model are propagated to the target model.
接下来，目标模型被确认，它产生出超过400条的错误信息。
Next, the target model was validated, which resulted in more than 400 error messages.
如果需要修改目标模型，那么目标数据也需要进行相应的调整。
If the target model needs to be modified, the target data will need to be adjusted accordingly.
MTF转换引擎将尝试创建或修改目标模型，使其遵循这些约束。
The MTF transformation engine will try to create or modify the target model to make those constraints hold.
然后对数据进行处理，以消除冲突并创建表示目标模型的公共结构。
The data is then processed to resolve conflicts and to create a common structure representing the target model.
字段长度分析是分析当前的源系统是否能在字段长度上与目标模型映射。
The field length analysis is an analysis of whether or not current source systems can map correctly at the field length level of our target model.
在仓库目标模型中创建一个过滤器表达式，这将用到默认值(如有提供)。
A filter expression is created in the warehouse target model which will use the default value (if provided).
RDA工具还可以将一个或多个源模型关联或映射到一个或多个目标模型。
The RDA tooling can also relate and map one or more source models to one or more target models.
第二个文件(称作目标模型)将包含D BA在编辑器中做出的所有更改。
The second file, called the target model, will contain all the new changes made by the DBA in the editor.
MTF转换引擎将随后执行这些规则来将目标模型文件与源模型文件同步。
The MTF transformation engine then executes those rules to synchronize the target model files with the source model files.
当任何源模型发生了更改，可能需要对数据流规范和目标模型进行相应的调整。
When any of the source models change, data-flow specification and possibly the target model will need to be adjusted.
该分析确定现有的源数据是否能完成目标模型，以及是否需要执行大量的转换。
This analysis determines whether or not the target model can be fulfilled with existing source data and whether or not extensive transformations may have to be performed.
为了给这些元素排序，您可以手动将它们映射到源模型及目标模型中。
To align these elements, by manually map them in the source and target models.
接下来，对源数据进行集成并将其转换为目标模型，这可能需要多步操作来完成。
Next, the source data is integrated and transformed to conform to the target model, possibly in multiple operations.
特定的重新排序操作可能会导致目标模型变得无效，如果它们破坏uml2规则的话。
Certain reorder operations may cause the target model to become invalid if they violate the UML2 specification.
这个过程有助于在后面的属性或数据差异分析中通过定义的术语将数据源映射到目标模型。
This process can contribute to subsequent Attribute or data Gap Analyses in mapping data sources against target model through the defined terms.
当创建部署规范时，确保发布到内容存储库（即，目标模型包）的应用程序模型包被选中。
When creating the export specification ensure that the application model package published to the content store (i.e. the target model package) is selected.
CognosBI 10.1使用在导入归档文件中部署的目标模型包从存储库读取数据。
Cognos BI 10.1 reads data from the repository using the target model package deployed in the export archive.
当目标模型发生更改时，将目标模型包部署到CognosBI 10.1是很有必要的。
It is necessary to deploy the target model package to Cognos BI 10.1 whenever a change is made to the target model.
如果目标模型跨多个表，数据差异分析还必须考虑数据键和键关系，以便有效地链接数据元素。
Where the target model is spread across multiple tables, the data Gap Analysis must also consider data keys and key relationships to effectively link data elements together.
这些源模型和目标模型会得到筛选；只有那些选中元素的父类和所有子类才可以看见。
The source and target models are filtered; only the parents and all children of the selected element are visible.
根据这些假设，开发人员可以定义一组操作，用来根据源和目标模型将源数据转换为目标数据。
Based on those assumptions, the developer defines the set of operations that can transform the source data into the target data corresponding to the source and target models.
数据联合模式的大部分实现都比较强调一个（或数量很有限的）目标模型，以最有效地处理请求。
Most implementations of the data federation pattern have a relatively strong focus on one -- or a very limited number of -- target models in order to process requests most efficiently.
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