Data federation is one of them.
数据联合就是其中的一个。
Risk areas to apply the data federation pattern.
不应该应用数据联合模式的领域。
Value proposition of the data federation approach
数据联合方法的价值主张
Constraints when applying data federation pattern.
应用数据联合模式时的约束。
The top concern with data federation is performance.
对于数据联合而言，最需要关注的就是其性能。
This article highlights the value of the data federation approach.
本文重点强调了数据联合方法的价值。
Similar patterns exist within data federation and data consolidation.
在数据联邦和数据整合中也有相似的问题。
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。
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。
Most data federation implementations support a various degree of read and write access.
大部分联合实现都支持不同程度的读写访问。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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。
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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