• It is primarily used with logical data model.

    它主要用于逻辑数据模型。

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  • Creating a normalized dimensional logical data model.

    创建标准化维度逻辑数据模型。

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  • Creating a de-normalized dimensional logical data model.

    创建非标准化维度逻辑数据模型。

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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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  • Resulting logical data model retains glossary classifications.

    生成的逻辑数据模型保留术语表分类。

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  • It includes the concepts of conceptual and logical data modeling.

    它包括概念数据建模和逻辑数据建模的概念。

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  • The logical data model primarily consists of packages and entities.

    逻辑数据模型主要由包和实体组成。

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  • The client does not have a well-formed enterprise logical data model.

    客户不具备格式良好的企业逻辑数据模型。

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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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  • 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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  • Transforming the dimensional logical data model to dimensional physical data model

    将多维逻辑数据模型转换为多维物理数据模型

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  • The logical data model in RDA is to databases as sketches are to designing a house.

    RDA中的逻辑数据模型对于数据库的意义,就如同设计草图对于建造房屋的意义。

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  • In a logical data model you are describing things and properties about these things.

    在逻辑数据模型中,要描述一些事物及其属性。

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  • You can also take a logical data model and transform that into a physical data model.

    还可以把逻辑数据模型转换为物理数据模型。

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  • Transform de-normalized dimensional logical data model to dimensional physical data model.

    将非标准化多维逻辑数据模型转换为多维物理数据模型。

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  • Part 4 in this series Outlines the role of conceptual and logical data modeling within SOA.

    本系列的第4部分概述了SOA中概念数据建模和逻辑数据建模的作用。

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  • The logical data model contains much more detailed information about the business subject areas.

    逻辑数据模型包含关于业务主题领域的更多详细信息。

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  • There are a couple of different ways to transform a logical data model to a physical data model.

    把逻辑数据模型转换为物理数据模型有两种方法。

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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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  • Transforming the normalized logical data model to a de-normalized dimensional logical data model.

    将规范化逻辑数据模型转换为非规范化多维逻辑数据模型。

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  • A logical data model is not constrained regarding possible relationships between different entities.

    一个逻辑数据模型不受不同实体之间关系的限制。

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  • Look at how to create a physical data model if you have a logical data model that is already defined.

    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。

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  • You transformed an application model to a logical data model for finally creating the database tables.

    您将一个应用程序模型转换为逻辑数据模型,并最终创建了数据库数据表。

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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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  • In the section above, we have the de-normalized dimensional logical data model reviewed by stakeholders.

    在上面的小节中,我们已经请利益相关者审核了非标准化多维逻辑数据模型。

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  • You can create a domain model so that it can be used in other domain models or other logical data models.

    可以创建一个领域模型,这种模型可以在其他领域模型或其他逻辑数据模型中使用。

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  • The service may use a database service or use application components to enforce these logical data rules.

    这个服务可以使用一个数据库服务或使用应用程序组件来实施这些逻辑数据规则。

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  • RDA supports visualization of XML schema definitions and mapping of the XML schema to logical data models.

    RDA支持XML模式定义和XML模式到逻辑数据模型的映射的可视化。

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  • All of the attributes that comprise each entity are added later as part of the logical data modeling phase.

    组成每个实体的所有属性在以后的逻辑数据建模阶段添加。

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  • The first step for enabling dimensional notation is to enable dimensional capability in the logical data model.

    启用多维符号的第一步是在逻辑数据模型中实现多维功能。

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