• Silo (data integration).

    数据仓库(数据集成)。

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  • The component supports real-time data integration.

    此组件支持实时数据集成。

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  • Figure 4 presents a common healthcare data integration architecture.

    图4展示了一个公共医疗数据集成架构。

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  • When considering an SOA, it's essential to factor in data integration.

    当考虑SOA的时候,必须将数据集成作为一项基本要素。

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  • Let's briefly discuss each tier, starting with the data integration tier.

    让我们简要讨论一下每个层,首先从数据集成层开始。

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  • This pattern describes the master data integration required for building an MDM hub.

    此模式描述构建MDMhub所需的主数据集成。

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  • Unlike some of the other data integration models, SDO doesn't stop at data abstraction.

    与其他某些数据集成模型不同的是,SDO没有停留在数据抽象上。

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  • A new breed of Web-based data integration applications is sprouting up all across the Internet.

    一种新型的基于Web的数据集成应用程序正在Internet上逐渐兴起。

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  • IBM Information Server includes many software products for data integration and analysis tasks.

    IBMInformationServer包括很多用于数据集成和分析任务的软件产品。

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  • When it comes to a simple format conversion, any modern data integration platform can support it.

    如果是简单的格式转换,任一现代的数据集成平台都可以支持。

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  • Instead, it is a data integration framework, focusing on integrating Flex with RESTful frameworks.

    它是一个数据集成框架,专注于Flex与RESTful框架的集成。

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  • A data integration platform has to insulate services implementation from the underlying data sources.

    一个数据集成平台需要将服务实现与底层数据源分隔开。

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  • PwC lists a number of Semantic technology vendors that focus on enterprise data integration techniques.

    普华永道罗列出了许多致力于企业数据整合技术的语义技术提供商。

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  • For this case, the data integration rules must be identified and then mapped onto the service interface.

    对于这种情况,必须识别数据集成规则并映射到服务接口。

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  • Semantic mismatches and incompatible data formats are a staple of data integration and are not likely to vanish.

    语义不匹配和不兼容数据格式是数据集成的主要问题来源,不太可能消失。

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  • CRM Buyer pointed to issues such as the cost of tags, problems with reader accuracy, privacy and data integration.

    CRMBuyer指出的问题包括:标签的成本,阅读器的准确性,隐私,以及数据整合等。

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  • These examples provide guides that show you how to solve typical data integration problems with Teradata databases.

    这些示例将指导您解决Teradata数据库中的典型数据集成问题。

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  • These examples provide step-by-step guides that consultants can use to solve their Salesforce data integration cases.

    这些例子提供了详细指南,顾问可以利用它们来解决Salesforce数据集成案例。

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  • The InfoSphere Information Server requires the following components to support data integration with Teradata databases.

    InfoSphere InformationServer要求以下组件支持与Teradata数据库之间的数据集成。

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  • The most obvious approach -- write the data integration code yourself -- may cost you more time and effort than you think.

    最容易想到的方法是自己编写数据集成代码,但这种方法会让您花费超乎想象的时间和精力。

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  • IBM Lotus forms helps you automate forms-based business processes and facilitates data integration with existing it systems.

    IBMLotusForms可以自动化基于表格的业务流程,可以促进数据与现有IT系统的集成。

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  • Use popular ontologies like FOAF whenever possible because common structures and vocabulary will facilitate data integration.

    只要可能应尽量使用FOAF这类通用本体,公共的结构和词汇表有助于数据的集成。

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  • Regardless of what integration approach is chosen - SOA or data integration - you need to understand the data being integrated.

    无论选择什么集成方法—SOA还是数据集成—都需要理解被集成的数据。

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  • Likewise, any analytic and data integration that is required to support a BPM solution is provided using the information services.

    同样地,支持BPM解决方案所需的分析和数据交互则通过信息服务提供。

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  • Here, data flows through service composition logic, service implementation logic and potentially application and data integration logic.

    在这种情况下,数据流要通过服务组合逻辑、服务实现逻辑以及应用程序和数据集成逻辑。

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  • Master data integration (MDI) : MDI is a set of disciplines, strategies, technologies, and solutions, used to perform the following tasks.

    主数据集成(MDI): MDI是一套用于执行以下任务的规则、战略、技术和解决方案。

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  • DataStage, an IBM flagship product, provides a complete solution for real-time data integration (RTI) that can be handled as a Web service.

    DataStage是一款IBM旗舰产品,它为实时数据集成(rti)提供了一整套解决方案,可以将RTI作为Web服务来进行处理。

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  • Finally, we realize that no framework is going to solve all your data integration needs or be the correct architecture for all applications.

    最后,我们认识到没有任何一个框架能满足所有的数据集成需求或是解决所有应用的架构问题。

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  • Using legacy mechanisms of healthcare data integration are simply not financially feasible to implement and sustain a HIN over the long term.

    使用医疗数据集成遗留机制实现和长期支撑一个HIN在财务上并不可行。

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  • As we previously mentioned, SDO isn't the only technology that proposes to resolve the problem of data integration in distributed applications.

    前面已经提到,SDO并不是提出解决分布式应用程序中数据集成问题的惟一技术。

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