• 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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  • Scientists are not the only ones who need better data integration.

    科学家们并不是唯一渴望能更好地进行数据整合的人。

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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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  • Flow 1: Master data integration from the MDM system into the EPCIS system.

    流程1:把来自MDM系统的主数据集成到EPCIS系统中。

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  • [this] platform must support and drive the reuse of data integration logic.

    [这一]平台必须支持并驱动数据集成逻辑的重用。

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  • And it did this even though our data integration work was extremely simple.

    即使我们的数据集成工作极其简单,该方法也可以做到这一点。

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  • Customer data integration services and product master fall into this category.

    自定义数据集成服务和产品主数据管理服务属于这个类别。

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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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