• 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • 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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  • This article describes an example use case in which a UML modeler is transformed into a logical data model (LDM).

    本文将描述一个示例用例,其中,一个uml模型将被转换为一个逻辑数据模型(LDM)。

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  • The general design objectives of the logical data model are correctness, consistency, non-redundancy and simplicity.

    逻辑数据模型的一般设计目标是正确性、一致性、非冗余和简单性。

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  • Just because these rules are part of the logical data model, one should not assume that they must be enforced by a database.

    由于这些规则是逻辑数据模型的一部分,所以不应该认为一个数据库必须实施这些规则。

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  • A logical data model defines entities and relationships between entities without consideration of the implementation platform.

    逻辑数据模型定义实体以及实体之间的关系,而不考虑实现平台。

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  • The canonical message model is ultimately based on the logical data model and business glossary, via a service analysis model.

    规范化消息模型最终基于逻辑数据模型和业务术语表,中间要通过一个服务分析模型。

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  • To configure the transform, set the source for the logical data model to be the UML model or the UML package within the model.

    要配置这个转换,将逻辑数据模型的源设置为uml模型或模型中的uml包。

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  • In this section, we are going to transform the de-normalized dimensional logical data model to dimensional physical data model.

    在本小节,我们继续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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  • You can use an existing logical data model to define a new business item, or use business items to define a new logical data model.

    您可以使用某个现有的逻辑数据模型来定义一个新的业务项,或者使用业务项来定义一个新的逻辑数据模型。

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  • Right click the de-normalized dimensional logical data model node, and click Transform to Physical data model from the context menu.

    右键单击非标准化多维逻辑数据模型节点,然后在上下文菜单中单击TransformtoPhysicalData Model。

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  • In addition, the logical data model may be used in service analysis and exposed to service consumers such as business process models.

    此外,逻辑数据模型还可用于服务分析,并公开给服务消费者,例如业务流程模型。

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  • In the section above, one valid dimensional physical data model is transformed from the de-normalized dimensional logical data model.

    在上面的小节中,讨论了如何从非标准化多维逻辑数据模型转换为一个有效的多维物理数据模型。

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