• 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。

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  • 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。

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  • 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。

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  • Within your project, navigate to the Data Models folder.

    在项目中,导航到Data Models文件夹。

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  • 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。

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  • Physical data models - Blueprint of your physical tables and columns.

    物理数据模型——物理表和列的蓝图。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • 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。

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  • The data type for the schema of the messages for the canonical data models is also important.

    规范数据类型的消息模式所使用的数据类型也很重要。

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  • 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。

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  • You have so far seen the concept of logical data models, domain models, and physical data models.

    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。

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  • The data architecture includes conceptual, logical and physical data models and its metadata 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。

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  • RDA also supports visualization of deployed databases through the extraction of physical data models.

    RDA还通过物理数据模型的摘录支持被部署的数据库的可视化。

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  • Metadata management: business requirements, data models, ETL process designs, user manuals, and so on.

    元数据管理:业务需求、数据模型、ETL过程设计、用户手册,等等。

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  • Ideally application modelers should be educated on how to understand and leverage logical data models.

    理想情况下,应用程序建模师经过培训后应该能理解和利用逻辑数据模型。

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  • Learn about relational databases, data models, unique keys, primary keys, foreign keys, and table joins.

    了解关系数据库、数据模型、惟一键、主键、外键和表联结。

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  • One proposed solution is that a new simple language be created for describing SOAP data models explicitly.

    提出的一种解决方法是专门为描述SOAP数据模型创建一种简单的新语言。

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