• 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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  • This is due to the real-time, synchronous nature of responding to requests in the data federation pattern.

    这是由于数据联合模式中的请求对应的响应的实时同步特征造成的。

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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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  • In many cases, the data federation server has very similar characteristics than a database or content server.

    在很多情况下,数据联合服务器都具有与数据库或内容服务器很类似的特征。

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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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  • 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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  • Data federation joins the information from multiple sources so that it can be surfaced as a service to the consumer.

    数据联合将对来自多个源的信息进行联接,以便能作为服务向使用者提供。

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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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  • 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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  • The data federation pattern allows for real-time, integrated access to sources with the highest level of data currency.

    数据联合模式允许以实时集成的方式访问源,具有最高的数据并发级别。

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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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  • Data federation strives to leave data in its original location and to create what can be thought of as a virtual database.

    数据联合力图将数据放在其原始位置上,并创建虚拟数据库。

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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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  • On the other hand, data federation increasingly requires data transformation capabilities to improve data quality and flexibility.

    另一方面,数据联盟越来越需要数据的转换性能来提高数据的质量和灵活性。

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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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  • 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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  • 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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  • 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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  • 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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  • 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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