• But beyond core data modeling, InfoSphere data architect also helps data architects.

    除了核心数据建模之外,InfoSphere Data Architect帮助数据架构师

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  • InfoSphere Data Architect provides tools that can dramatically reduce design and development time.

    InfoSphere Data Architect提供一些可以极大地减少设计开发时间工具

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  • InfoSphere data Architect can help accelerate multidimensional data modeling from design to deployment.

    InfoSphere Data Architect有助于加快设计部署多维数据建模

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  • InfoSphere data architect is a key tool for data architects to model, relate, and standardize data.

    InfoSphere Data Architect数据架构师建模关联标准化数据的一个关键工具

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  • Seven rules are added in InfoSphere data Architect V7.5.3 for dimensional physical data model validation.

    InfoSphere Data ArchitectV7.5.3中添加了七个规则,均可用于多维物理数据模型验证。

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  • Integrates with InfoSphere Data Architect for seamless transition from logical to physical design and deployment.

    集成InfoSphere Data Architect逻辑设计部署顺利过渡物理设计和部署。

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  • Developers can readily identify sensitive data based on the privacy metadata capture in InfoSphere data Architect.

    开发人员能够根据InfoSphere Data Archtect中捕捉到的隐私元数据轻松识别敏感数据

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  • To show how to export a glossary model, Figure 27 shows that InfoSphere Data Architect has a Glossary Model opened.

    为了展示如何导出术语模型27显示InfoSphere Data Architect 打开了个术语表模型。

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  • IBM InfoSphere Data Architect Version 7.5.2 features several improvements, including simplified storage needs estimating.

    IBMInfoSphere Data ArchitectVersion7.5.2提供几个改进包括简化了存储需求评估

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  • Although not branded data Studio, IBM InfoSphere data Architect 7.5.1 is a key part of an integrated data management workflow.

    尽管IBMInfoSphere Data Architect7.5.1并非著名DataStudio产品,但它仍然集成数据管理工作流关键部分

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  • Select InfoSphere Data architect integration under the topic Lifecycle and architecture tool integration, as shown in Figure 2.

    选择Lifecycleandarchitecturetoolintegration主题之下InfoSphere Data architect integration,如图2所示。

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  • We have completed the workflow to create multidimensional data models through forward engineering using InfoSphere data Architect V7.5.3.

    我们已经完成了使用InfoSphere Data Architect V7.5.3并通过正向工程创建多维数据模型工作流程

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  • You can now associate a physical data model from InfoSphere data Architect with a connection definition in the common connection repository.

    现在可以关联来自InfoSphere Data Architect物理数据模型公共连接存储库中的一个连接定义

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  • Now that the Logical data Model is transformed, you need to create a Physical data Model in InfoSphere data Architect for the DB2 database.

    既然逻辑数据模型已经得到了转换,需要InfoSphere Data Architect物理数据模型DB 2数据库创建一个物理数据模型。

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  • You need to make several configuration changes to enable XML import and export interfaces in InfoSphere Data Architect, so let's get started.

    需要进行几个配置更改启用InfoSphere Data Architect中的XML导入导出界面现在开始

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  • Using InfoSphere data Architect, Tom creates a new data design project to contain all the artifacts (data models and metadata) for this particular project.

    TOM使用InfoSphere Data Architect创建一个新的数据设计项目包含所需的全部工件(数据模型元数据)。

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  • An example of this would be the InfoSphere data Architect (IDA) ability to govern a naming convention for your company for a physical implementation of a data model.

    例如InfoSphere Data Architect (IDA)能够公司数据模型物理实现命名约定进行治理

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  • InfoSphere Data Architect provides a powerful feature that automates the identification of entities to different dimensional properties. You can do this as follows.

    InfoSphere Data Architect提供强大的功能可以自动识别实体不同维度属性。

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  • InfoSphere data Architect needs more information before connecting to the metadata server, such as hostname, port number, user ID, and password, as shown in Figure 22.

    连接元数据服务器之前InfoSphere Data Architect还需要更多信息例如主机名、端口号用户ID密码如图22所示。

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  • InfoSphere data architect: Simplifies data modeling and integration design, enabling architects to discover, model, relate, and standardize diverse and distributed data assets.

    InfoSphere Data Architect简化数据建模集成设计使架构师能够发现建模关联标准化各种分布式数据资产

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  • This series USES three user scenarios to demonstrate how it helps accelerate multidimensional data modeling and how users can benefit from InfoSphere data Architect V7.5.3 adoption.

    系列使用三个用户场景演示如何加快多维数据建模以及用户如何能够通过使用InfoSphere Data Architect V7.5.3获益

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  • The layer enables integration between the tools used by business analysts and the tools used by technical team members, such as InfoSphere Data Architect and Information Server.

    使用可以将业务分析师使用工具技术团队成员所使用的工具集成在一起,例如InfoSphere Data ArchitectInformationServer

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  • However, you cannot import these documents as a physical model because physical data models in InfoSphere data Architect require a database specification, which is not part of the import.

    但是这些文档不能作为物理模型导入原因InfoSphere Data Architect中的物理数据模型需要数据库规范而这部分没有导入。

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  • Aside from these two options, you can also export glossary terms along with categories from glossary and physical models created in InfoSphere Data Architect using the export feature.

    除了两个选项以外可以使用导出功能InfoSphere Data Architect中创建术语物理模型导出业务术语类别

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  • On the other hand, a physical data model (PDM) which carries the DBM extension in InfoSphere data Architect, takes into account the constraints and facilities of a given Database Management System.

    一方面,InfoSphere数据架构扩展物理数据模型(PDM),要考虑给定数据库管理系统限制能力。

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  • In the Cubing model, most OLAP objects are generated from the dimensional physical data model in InfoSphere data Architect, such as cube models, facts, dimensions, measures, hierarchies, and levels.

    Cubing模型中,大多数OLAP对象是从InfoSphere Data Architect中的多维物理数据模型生成的,比如多维数据集模型事实维度度量分层结构级别

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  • In the Cubing model, most OLAP objects are generated from the dimensional physical data model in InfoSphere data Architect, such as cube models, facts, dimensions, measures, hierarchies, and levels.

    Cubing模型中,大多数OLAP对象是从InfoSphere Data Architect中的多维物理数据模型生成的,比如多维数据集模型事实维度度量分层结构级别

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