实际的数据验证是后端应用程序的职责。
Actual data verification will be the responsibility of the backend applications.
进行任何必需的元数据验证。
设计数据验证和清理。
调用处理程序类是处理所有数据验证逻辑的地方。
The invocation handler class is where all of the data validation logic is handled.
然而在大部分情况中，在客户端完成数据验证是最佳实践。
In most cases, however, it is a best practice to do your data validation on the client.
一些数据验证应该和数据存放在一起，而另一些则不应该。
Some data validations should live with the data, some shouldn't.
对包含该书的表格单元使用可见文本选项来记录数据验证点。
Record a data verification point using the Visible Text option for the table cell containing the book.
对象没有固有的约束，因此要实现数据验证，必须进行显式编码。
Objects have no inherent constraints, so explicit coding is required to implement the data validation.
如果使用了文法，您就会陷入自己手工编写大量数据验证代码的泥潭。
If you use the grammar, you could get stuck having to hand code a lot of data validation.
这些组件功能丰富，但缺少一些基本功能，比如数据验证和错误报告。
The components are fully functional, but some essential features, such as data validation and error reporting, are missing.
对于上述条件，您可以在接口上设置数据验证限定符，如图17所示。
For the above requirement, you can set the data validation qualifier on the interface as shown in Figure 17.
数据验证限定符确保传递到操作的数据和操作输入的xsd类型匹配。
The data validation qualifier ensures that the data passed to an operation matches the XSD types of the operation's input.
数据质量团队希望在Web应用程序中加入更多的逐字符的数据验证。
Your data quality team wants to put more character-by-character data validation in your Web applications.
数据验证几乎总是只在服务器上进行，因为要根据一个数据源对数据进行验证。
Verification of data should almost always only be done on the server, because the data is going to be validated against a data source.
您还将了解如何扩展和使用SpringMVC提供的数据验证类。
You'll also learn how to extend and use data-validation classes provided by the Spring MVC.
用户希望改善Web体验，厌倦了由于简单的数据验证检查而反复加载整个网页。
Your users just want a great Web experience and are tired of constantly reloading entire Web pages for simple data validation checking.
由于你建立了一个数据验证点并选择了可见文本测试，显示的文本是一种文本框的形式。
Because you created a data verification point and choose the Visible text test, the text displays in a text box format.
本文展示如何使用QoS限定符来提供事务处理、安全处理和数据验证，以及何时使用。
This article showed how and when to use the QoS qualifiers to provide transaction handling, security handling, and data validation.
参考XMLSchemaRepository信息和 XML数据验证信息
Refer to XML Schema Repository information and XML data validation information
其基本思想在于，BRMS将应用程序的业务逻辑与其数据验证逻辑和流程控制分离开来。
The basic idea is that the BRMS decouples an application's business logic from its data validation logic and from its flow control.
同样，也可以将SignedObject用于数据验证，并且对称密钥也必须单独管理。
Likewise, you can use SignedObject for data verification, and again the symmetric key must be managed independently.
编写这样的组件将导致组件间重复的数据验证工作，从而使其性能弱于单独的应用程序结构。
Composing such components results in repetitively validating data passed between components with performance inferior to monolithic application structures.
服务实现不得不除了支持服务的业务功能之外，还需要支持所有的数据验证、存取和协调逻辑。
Service implementation has to support not only business functionality of the service, but also all of the data validation and access and coordination logic.
我不想花太多的时间讨论这个示例应用程序的所有细节，我只关注其中的数据验证方面的技巧。
I won't spend much time discussing all the details of the sample application; I'll focus just on the data-validation technique.
如前所述，仅为了进行数据验证就将数据从客户机移动到服务器上是一个巨大的错误。
As I mentioned earlier, it's a big mistake to move data from client to server just for the sake of validation.
让我们看一个案例学习，该案例通过SOA提供了数据验证服务，这种服务也是一种数据质量服务。
Let's take a look at a case study of offering data validation services, a subset of data quality services, through SOA.
您还可以执行针对Siebel 7.7和 7.8 版本的自定义组件的属性和数据验证点。
You can also perform property and data verification points on Siebel custom components for Siebel 7.7 and 7.8.
在上一篇专栏文章中，我们首先讨论了数据验证方面的问题，这是企业应用程序设计的基本组件之一。
In the last installment, we started a discussion about data validation, which is one of the essential components of enterprise application design.
使用可见文本选项记录数据验证点来确保画面顶部的购物车图标已按照你购物车内的货物进行了更新。
Record a data verification point using the Visible Text option to make sure that the shopping cart icon at the top of the screen is updated to reflect the item in your cart.
由于数据质量确认的复杂性，一些公司订购了由第三方提供的数据验证服务，而不是开发内部解决方案。
Because of the complexity of data quality validation, some companies subscribe to data validation services from third-party providers instead of developing in-house solutions.
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