• While you use RSA to model your data model and applications, you have to look at the tooling that EMF provides for creating an EMF model for generating code.

    当您使用RSA模型化您的数据模型和应用程序时,必须先来看一下EMF为创建一个用于产生代码的EMF模型所提供的工具。

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  • For example, it can map between a logical and physical model, that is, between the concepts of the canonical data model and the realization of these concepts in the data platform.

    例如,它可以在逻辑模型与物理模型之间映射,也就是规范化数据模型的概念与这些概念在数据平台中的实现之间的映射。

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  • In addition, you can get details about the privacy policies applied for this column in the physical data model and easily navigate to the associated physical data model itself.

    另外,您可以在物理数据模型中获取这个列应用的隐私策略的有关细节,并轻松导航到关联的物理数据模型本身。

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  • Data modelers might argue that if you want the model to have more data, grow the model, then create schemas as a by-product-in effect, create a bigger model and restrict down as needed.

    数据建模人员也许认为如果想让模型包含更多数据、扩展模型,那么可以根据产品创建模式—实际上,在需要时创建更大的模型并减少限制。

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  • Figure 2 illustrates this in the linkage between the logical data model and the service analysis model.

    从图2中逻辑数据模型与服务分析模型之间的连线可以看出这一点。

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  • To manage any application change involving a persistent domain model effectively, you must coordinate changes in the data, schema, and model.

    要有效地管理涉及持久性域模型的应用程序变化,必须协调数据、模式和模型的变化。

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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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  • We have a simple interface map with underlying business object maps to translate between the data model used in the process, and the data model of the services we're choreographing.

    我们有一个具有基础业务对象映射的简单接口映射,以便对流程中使用的数据模型与我们正在编排的服务的数据模型进行相互转换。

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  • In reverse, the LDM2UML transform takes the same information from the logical data model, and USES it to build a UML model.

    反过来,LDM2UML转换则从逻辑数据模型中获取同样的信息,并使用获得的信息构建一个uml模型。

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  • It enables developers to query and manipulate data using a conceptual model instead of a physical storage model.

    它支持开发人员使用概念模型查询和操作数据,而无需使用物理存储模型。

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  • Before importing a data model, you must have at least one workspace created and open, so you can import or create a data model.

    在导入数据模型之前,必须创建并至少打开一个工作区,以便能够导入或创建数据模型。

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  • The purpose of the tutorial is to teach the basics of model reporting, and it will focus on how to extract model data into a BIRT report.

    这篇教程的目的是教一些模型报表的基础知识,它将重点阐述如何将模型数据提取到一个BIRT报表中。

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  • EMF's model focuses mostly on the data model, and an API for its manipulation and access.

    EMF的模型更多的是关注于数据模型,以及一个用于操作处理和访问的API。

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  • 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.

    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。

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  • Logical data model: Logical data model represents the enterprise entities, their attributes (data) and the relationship among them.

    逻辑数据模型:逻辑数据模型代表企业实体、实体属性(数据),以及它们之间的关系。

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  • The ultimate goal of data mining is to create a model, a model that can improve the way you read and interpret your existing data and your future data.

    数据挖掘的最终目标就是要创建一个模型,这个模型可改进您解读现有数据和将来数据的方式。

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  • You can easily create a logical data model that is derived from business requirements and transform that into a physical data model that reflects your database design.

    可以从业务需求轻松地创建逻辑数据模型,并把它转换为反映数据库设计的物理数据模型。

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  • To efficiently manage XML data, like traditional SQL data types, DB2 USES the XML data model internally, as the logical data model and as the fundamental unit of physical storage.

    为了高效地管理XML数据,像传统的SQL数据类型一样,DB 2在内部使用XML数据模型作为逻辑数据模型,同时也作为物理存储的基本单元。

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  • Conceptual data modeling drives the initial broad specification within the canonical data model, and logical data modeling adds further detail within that same model.

    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。

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  • Now look at how you can change your physical data model and create DDL from the physical data model.

    现在看看如何修改物理数据模型,并从物理数据模型创建DDL。

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  • In addition to supporting a tabular data model, DB2 also supports the native hierarchical data model found in XML documents and messages.

    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。

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  • Instead the controller component is responsible for view to model updates, and often for updating the view based on the model data.

    控制器组件则负责查看模型更新,并根据模型数据更新视图。

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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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  • In other words, if you also had an "authors" model, then these files could contain data for both the "books" model and the "authors" model.

    换句话说,如果您还有一个“authors”模型,则这些文件可能同时包含来自“books”模型和“authors”模型的数据。

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  • The Modeling Edition is based on a Web Services domain model following WCF's metamodel and composed of 3 DSLs: Service Contract Model, Data Contract Model and the Host Model.

    ModelingEdition的基础是Web服务领域模型,其遵循了WCF的元模型以及3DSLs的组成:服务契约模型、数据契约模型和宿主模型。

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  • The model is the main component that maintains the state and data model that the application represents.

    模型(model)是主要的组件,它维护应用程序呈现出的状态和数据模型。

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  • Castor comes with some JDO examples that present a data model and an object model surrounding the notion of a product.

    Castor附带了一些JDO示例,它们给出了围绕某个产品概念的数据模型和对象模型。

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  • A Template model, with the profile applied and the data type model imported

    一个带有被应用的概要文件和被导入的数据类型模型的Template模型

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  • In the second part of the scenario, Tom transforms the physical model into a logical model, and then makes the following changes to the logical model using a data diagram.

    在本场景的第二部分中,Tom将从Eric那里收到的HR数据库的物理模型添加到一个数据设计项目中。

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  • When transforming a logical data model to a physical data model using IDA, entity and attribute names are transformed to table and column names according to the following rules.

    在使用RDA将逻辑数据模型转换为物理数据模型时,实体和属性名称根据以下规则被转换为表和列名称。

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