第一个问题就是索引应用数据。
不应该应用数据联合模式的领域。
应用数据整合模式的危险领域。
不应该应用数据清理模式的领域。
应用数据整合模式的主要领域。
应用数据联合模式时的约束。
通过可选的界面访问企业应用数据和功能。
Access to enterprise app data and functionality via alternative interfaces.
应用数据消息可以是任何信息，这点很重要。
It's important to realize that application data records can be anything.
应用数据整合模式的传统的、最典型场景包括
The most typical scenarios in which the data consolidation pattern has traditionally been applied are
应用数据备份api——可以将应用数据备份到云中。
Application data backup API - allows backing up application data to the cloud.
我们看到它的响应消息，包括泄露秘密的应用数据头。
We see its response, including the tell-tale application data header.
可以在Android商店搜索应用，包括应用数据。
Search through Android Marketplace applications including application data.
应用数据清理模式时，务必了解其如何影响以下非功能需求。
When applying the data cleansing pattern, it is important to understand how it impacts the following nonfunctional requirements.
图1显示了在传统上下文中应用数据清理模式的抽象体系结构。
Figure 1 illustrates the high-level architecture of applying the data cleansing pattern in the traditional context.
简单描述了此方法后，我们将了解应用数据清理模式的上下文。
After briefly describing the value of this approach, you'll learn the context in which the data cleansing pattern should be applied.
你可以复制照片和音乐，而开发者可以复制缓存和其他应用数据。
You can copy photos and music on there while developers can copy caches and other application data.
对大量数据应用数据清理模式与对各个记录应用此模式一样常见。
It is fairly common to apply the data cleansing pattern against sets of bulk data as well as individual records.
在应用数据整合模式时，了解它对下列非功能性需求的影响是非常重要的。
When applying the data consolidation pattern it is important to understand how it impacts the following nonfunctional requirements.
另一个原因是美国公司对于收集、应用数据来预测消费者需求还不是很内行。
Another reason is that American firms are less adept at capturing and using customer data to predict demand.
“数据可视化”这个词经常用来描述应用数据的图形化视图，如图表和图形。
Data visualization is a term frequently used to describe graphical views of application data, such as charts and graphs.
目标服务器在应用数据之前，将行数据从主字典格式转换为本地表字典格式。
The target server converts the row data from the master dictionary format to the local table dictionary format before applying the data.
在以下部分中，以星期视图为例，演示如何将XML应用数据变换成HTML。
In the following, the week view is used as an example of how to transform XML application data to HTML.
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。
After describing the context in which we apply data federation, we discuss the problem that this pattern addresses, as well as the solution.
Okta和Snaplogic帮助企业将他们的身份和应用数据分别进行互联。
Okta and Snaplogic help businesses connect their identities and application data together respectively.
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。
We will conclude by summarizing when to apply and when not to apply the data federation pattern and to list important constraints.
应用数据联合模式时，务必理解其特征以及其受以下所述的非功能要求的影响情况。
When applying the data federation pattern, it is important to understand its characteristics and how it is affected by the non-functional requirements described below.
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。
Solutions that apply the data federation pattern in the traditional context leverage the advantage of the declarative and flexible nature of SQL.
这种恢复并不会导致系统或应用数据的丢失，也不会丢失设置，甚至连缓存都不会丢失。
This recovery is done without losing system or application data, without losing Settings and even without losing the cache.
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。
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.
在保存信息前应用数据清理，可在输入点(如数据输入门户)将业务定义的验证机制包含进来。
Applying data cleansing before the information is persisted allows for the incorporation of business-defined validation mechanisms at the point of entry, such as in data entry portals.
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