• Constraints when applying data federation pattern.

    应用数据联合模式时的约束。

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  • The data federation server receives a request to the integrated view.

    数据联合服务器接收对集成视图的请求。

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  • The data federation pattern virtualizes data from multiple disparate information sources.

    数据联合模式可对多个不同信息来源的数据进行虚拟化。

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  • Many implementations of the data federation pattern have limited capabilities to manipulate data.

    数据联合的很多实现具有受限的数据操作功能。

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  • In most cases, the data federation pattern is used for read access because of the complexity of write access.

    在大多数情况下,由于写访问非常复杂,因此数据联合模式主要用于进行读访问。

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  • Implementations of the data federation pattern typically support at least one of those models, sometimes both.

    数据联合模式的实现通常至少支持其中一种模型,有时候会同时支持这两类模型。

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  • It is important that we continue to enhance the data federation technology while working closely with customers.

    重要的是,我们要继续与客户紧密合作,增强数据联邦技术。

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  • An application that is a consumer of the data federation server can interface with a single virtual data source.

    作为数据联合服务器使用者的应用程序可以与单个虚拟数据源通过接口进行通信。

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  • The data federation server is responsible for receiving a query directed at an integrated view of diverse sources.

    数据联合服务器负责接收定向到各种源的集成视图的查询。

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  • The data federation server can consume — in order to integrate — services provided by multiple information sources.

    数据联合服务器可以使用(为了集成)多个信息源提供的服务。

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  • With more and more customers adopting data federation, the challenges of enabling seamless federation continue to grow.

    随着越来越多的客户采用数据联邦,对支持无缝联邦的挑战仍在增长。

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  • As described in the value statement, data federation can greatly improve delivery time when integrating various sources.

    正如价值主张中提到的,数据联合可以大幅度改进集成各种源时的交付时间。

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  • Implementations of the data federation pattern vary in their capabilities which specific source models they can integrate.

    数据联合模式的实现在其可以集成的具体源模型的能力方面各有不同。

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  • There is a big push toward information integration and on-demand computing through data federation and autonomic computing.

    通过数据联邦和自主计算(autonomic computing),在信息集成和随需应变计算方面取得了较大突破。

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  • Cache and data replication patterns can be used to supplement the data federation or in the creation of a composite pattern.

    可以使用缓存和数据复制模式来补充数据联合或形成组合模式。

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  • We will conclude by summarizing when to apply and when not to apply the data federation pattern and to list important constraints.

    我们最后将总结何时应用数据联合模式及何时不应用此模式,并将列出重要的约束。

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  • In order to address those challenges, architects will need to combine the data federation pattern with other security-related patterns.

    为了应对这些挑战,架构师将需要把数据联合模式与其他安全相关的模式结合使用。

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  • After describing the context in which we apply data federation, we discuss the problem that this pattern addresses, as well as the solution.

    描述了应用数据联合的上下文后,我们将讨论此模式所针对的问题及其解决方案。

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  • The data federation pattern focuses on the integration of data sources and provides a single system image through a data-oriented interface.

    数据联合模式的重点是数据源的集成和通过面向数据的接口提供单个系统映像。

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  • The data federation pattern requires the mapping of data elements from various data sources that are within the scope of the integrated view.

    数据联合模式要求对集成视图范围内来自各个数据源的数据元素进行映射。

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  • Which one of the information integration patterns is the best approach for a particular situation - data federation, data consolidation or EAI?

    哪一个信息集成模式是某种特定情况的最佳方法——数据联合、数据整合还是EAI ?

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  • Solutions that apply the data federation pattern in the traditional context leverage the advantage of the declarative and flexible nature of SQL.

    在传统上下文中应用数据联合模式的解决方案可以利用SQL的声明性和灵活性特征。

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  • When applying the data federation pattern in an SOA context, a set of federated queries need to be enabled and registered as services within SOA.

    在soa上下文中应用数据联合模式时,需要在SOA内将一组联合查询作为服务启用并注册。

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  • Since the data federation pattern does not create copies of source data, source changes do not have to be propagated or processed in this approach.

    由于数据联合模式并不会创建源数据的副本,因此源更改并不一定要采用这种方法进行传播或处理。

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  • Studies have shown that using the data federation pattern helps to reduce development time significantly when multiple sources have to be integrated.

    研究表明,当必须集成多个源时,使用数据联合模式可帮助大幅度减少开发时间。

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  • A very significant benefit to the data federation pattern is the ability to mask off many model changes which may be implemented in the source systems.

    数据联合模式的一个非常重要的好处是,能够屏蔽在源系统中实现的很多模型更改。

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  • In this example, the data federation pattern can provide the solution to integrated claims data which is then surfaced through a portal to a claims agent.

    在此示例中,数据联合模式可以提供集成索赔数据的解决方案,以便随后将集成索赔数据通过门户提供给索赔代理人。

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  • The availability of integrated data depends on the availability of the data federation server and the integrated source servers at the time of the request.

    集成数据的可用性依赖于数据联合服务器和集成源服务器在请求时的可用性。

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  • Therefore, most implementations of the data federation pattern focus less on complex transformation capabilities and more on query optimization technologies.

    因此,大部分数据联合模式的实现对复杂转换功能的关注相对较少,而更强调查询优化技术。

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  • Using the data federation technology in WebSphere Information Integrator, this global warehouse is connected to two regional warehouses in the U.S. and Canada.

    通过使用WebSphereInformation Integrator中的数据联邦技术,这个全球仓库被连接到美国和加拿大的两个地区仓库。

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