基于规范化数据模型发现多维信息。
Discovering multidimensional information based on a normalized data model.
为此，规范化消息模型必须基于规范化数据模型。
For this to work, a canonical message model must be based on a canonical data model.
数据质量分析的结果还可以反馈到规范化数据模型。
The results of the data quality analysis may also feed back into the canonical data model.
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.
在SOA项目中，规范化数据模型是增量式地开发的。
The canonical data model is developed incrementally during the SOA project.
规范化数据模型和消息模型的模式将在本系列的后续文章中讨论。
The pattern of a canonical data and message model is presented in a future article in this series.
很多公司已经为公司中最重要的实体开发了一个规范化数据模型。
Many companies have already developed a canonical data model for the most important entities across their enterprise.
我要完成的是最小化数据模型，从模型中删除无关紧要的方面。
What I am trying to accomplish is to minimize the data model while removing the insignificant terms from the model.
规范化数据模型为各个服务的消息的信息内容提供一个共同的格式。
A canonical data model provides a common format for the information content of the messages of the individual services.
而且，可以使规范化数据模型遵从通过业务术语表表达的标准化术语。
Furthermore, canonical data models can be made to comply with standardized business terms as expressed through a business glossary.
规范化数据模型定义业务过程和服务建模所用的数据结构、属性和关系。
The canonical data model defines data structure, attributes and relationships used for business process and service modeling.
XML基于半结构化数据模型，而半结构化数据很难统一存储和管理。
XML is based on semistructured data model, but the semistructured data is hard to store and manage.
取决于项目的复杂性，可以在两个不同层次的抽象和粒度上指定规范化数据模型。
Depending on the complexity of the project, a canonical data model may be specified at two different levels of abstraction and granularity.
规范化数据模型以规范化方式描述业务实体、属性和关系，以反映它们的业务用途。
The canonical data model describes the business entities, attributes, and relationships in a normalized form structured to reflect their business use.
最后，创建ViewPart，以实例化数据模型并实现IDataProvider接口。
Finally, create the ViewPart that instantiates the data model and that implements the IDataProvider interface.
规范化数据模型是SOA项目中实体及其属性和基于业务需求的关系的一个公共表示。
A canonical data model is a common representation of entities, their attributes and relationships based on the business requirements in the SOA project.
EMF是用于基于结构化数据模型构建工具和其他应用程序的建模框架和代码生成工具。
EMF is a modeling framework and code generation facility for building tools and other applications based on a structured data model.
数据类型的这些表达的一致性非常重要，这种一致性是通过指定规范化数据模型取得的。
Consistency across these expressions of data type is critical and is driven through the specification of a canonical 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。
The objective is not to limit data modeling to a single database and its related physical data model.
除了支持表数据模型之外，DB 2还支持XML文档和消息中固有的层次化数据模型。
In addition to supporting a tabular data model, DB2 also supports the native hierarchical data model found in XML documents and messages.
建立了一种面向自动综合的河系结构化数据模型，模型包含了大量水系综合所需要的信息。
A structural river network data model based on automated generalization oriented is developed, which contains lots of information needed by river network generalization.
规范化数据模型在数据层建立这种统一的格式，而规范化消息模型在服务层定义这种统一的格式。
The canonical data model establishes this common format on the data layer while the canonical message model defines this uniform format on the services layer.
这样产生的规范化数据模型的模型结构可以与SOA项目开发过程中使用的其他工具进行交换。
The resulting model structures of the canonical data model may be interchanged with several other tools used in the development process within an SOA project.
随着在服务模型中添加更多的细节，开发规范化消息模型，这个模型代表规范化数据模型的物理实例。
As specification detail is added to the service model, you develop the canonical message model which represents the physical instantiation of the canonical data model.
相反，规范化数据模型是SOA包含的所有数据库和相关遗留应用程序中的所有实体及其关系的参考。
Rather, the canonical data model is the reference for all of the entities and their relationships across all of the databases and related legacy applications that the SOA encompasses.
这使得表达可重用数据概念的规范化数据模型与其他工件紧密集成，例如业务术语表、服务定义和业务流程。
This allows the canonical data models that express the reusable data concepts to be integrated tightly with other artifacts such as business glossaries, service definitions and business processes.
尽管业务术语表是规范化数据建模活动的输入，但是一定要认识到，业务术语表并不能替代规范化数据模型。
Although the business glossary will be an input into the canonical data modeling activities, it is important to realize that a business glossary does not replace a canonical data model.
对于包含SOA项目的相关数据的各个系统，规范化数据模型为关键实体、它们的属性和关系提供一致的定义。
A canonical data model provides a consistent definition of key entities, their attributes and relationships across the various systems that hold relevant data for the SOA project.
概念化数据建模驱动规范化数据模型中最初宽度的规范，而逻辑数据建模则在同一个模型中增加进一步的细节。
Conceptual data modeling drives the initial broad specification within the canonical data model, and logical data modeling adds further detail within that same model.
针对现有的数据存储，利用SOA规范化数据模型和SOA规范化消息模型之间的映射，定义数据质量分析目标。
Mapping between the SOA canonical data model and the SOA canonical message model against the existing data stores can be leveraged to define potential data quality analysis targets.
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