For more complex data layouts, you can use the PivotTable system.
对于更加复杂的数据布局，您可以使用PivotTable系统。
You can traverse much more complex data structures in the same way.
用同样的方式也可以遍历非常复杂的数据结构。
Let's explore some more complex data scenarios and see what the impact is.
让我们尝试一些更加复杂的数据场景，并看看会有什么影响。
The second level allows you to create more complex data-specific logic.
第二级安全性让您可以创建更加复杂的数据特有的逻辑。
Now you will create a more complex data template: one that will generate a data table.
现在您要创建一个更加复杂的数据模板：一个会生成数据表的数据模板。
As a general rule, avoid using a more complex data structure where a simpler one will suffice.
作为一条通用规则，在更简单的数据结构能满足需要的地方，应该避免使用更复杂的数据结构。
In more complex databases, a data Design Project can be used to manage the life cycle of a particular database application.
在更复杂的数据库中，可以使用DataDesignProject来管理一个特定数据库应用程序的生命周期。
You then learned how to pass arguments to your server-side methods, and how to return more complex data in your responses from the server.
然后您学习了如何传递参数到您的服务器端方法，以及如何从服务器中返回更复杂的数据。
After all, there are those who devote careers to the more complex data-stream analysis; they're called statisticians and trained analysts.
毕竟，有从事较复杂的数据流分析的专业人士；他们是统计师和受过训练的分析师。
Here are six best practices that can help you overcome the twin challenges of increasing user demands and more complex data sourcing requirements.
下面提供的6个最佳实践将帮助您应付用户需求不断增加和数据来源日益复杂化的双重挑战。
These two messages use only string primitive data types of the XSD namespace and therefore you do not need to define any more complex data types in order to use them.
这两个消息只使用了xsd名称空间中的原始数据类型string，因此您不必为使用它们而定义任何更复杂的数据类型。
The previous examples are fairly simple, but GroovySql is just as solid when it comes to more complex data manipulation queries such as insert, update, and delete queries.
前面的例子相当简单，但是GroovySql在处理更复杂的数据操纵查询(例如insert、update和delete查询)时，也是非常可靠的。
Using the SQLite API, you can store more complex data, and with the internal and external storage, you can store files that are private to the application or publicly available to other applications.
使用SQLiteAPI，您可以存储更复杂的数据，利用内部和外部存储器，您可以存储对应用程序是私有的或者对其他应用程序公共可用的文件。
However, mapping corresponding operations requires only a line between them, while mapping data can be more complex.
然而，映射对应的操作只需在它们之间绘制一条线，而映射数据可能会更复杂。
Useful schemas favor applications in which the data is relatively predictable-the more variation in the data set, the more complex the schema needs to be.
有用的模式适合于其中的数据相对可预测的应用程序—数据集合中的变化越多，需要的模式就越复杂。
Now let's take a look at a more complex control: Data Table.
现在让我们来看一下更加复杂的控件：数据表。
Now information consumers are demanding timely answers to more complex questions that require processing of data from a variety of sources.
现在的信息消费者要求对更加复杂的问题做出及时的响应，而这些问题需要处理各种各样的源中的数据。
If your needs are more complex, you'll need more complex patterns for checking the data; see my book (listed in Resources) for some alternatives.
如果您的需要更复杂，您就需要更复杂的模式来检查数据；可以在我的书中(在参考资料中列出了)查找一些其他方法。
The larger and more complex the application, the more data movement there is and the more complex your design considerations must be.
应用程序越大、越复杂，其中的数据移动就越多，设计时考虑到的问题也必须越复杂。
If a more complex set of data is required with more-customized queries, you can subclass the generic DAO.
如果查询需要更复杂的数据集，那么可以从泛型dao派生出子类。
The more complex and varied the transformation requirements, the more sophisticated the run-time transformation or the data cleansing server must be.
转换需求越复杂，变化越多，运行时转换或数据清理服务器一定就越复杂。
It can connect and exchange data with multiple systems, which allows for a more complex approach to getting employee travel and location data dynamically from external systems.
它能够与多个系统连接并交换数据，从而支持更多差旅雇员，以及从外部系统动态获取位置数据。
The Iterative templates page contains more complex templates, such as those used to construct Data Table tags.
IterativeTemplates页面包含了更加复杂的模板，例如用于构筑DataTable标签的模板。
The more complex components, such as grids and data tables, have additional CSS-related attributes for their facets and elements.
更复杂的组件，比如网格和数据表，则会有针对其facet和元素的额外的css属性。
More complex games feature heavier use of EsObjects and pack them with more data.
更复杂的游戏功能较重使用EsObjects并且封装更多的数据。
JiBX data binding implements more complex code generation than most other frameworks using bytecode enhancement.
与大多数使用字节码增强的框架相比，JiBX数据绑定实现了更复杂的代码生成。
More complex invocations can also include data extracted directly from back-end systems using their native protocols and APIs (more on this when we discuss architectural patterns in Part 2).
此外，更复杂的调用还包括使用本地协议和API直接从后端系统提取到的数据（在第 2部分中，当讨论架构模式时，将更详细地讨论这一点）。
In more complex Web pages with more involved Ajax calls, the return data could be in the form of XML.
在较多涉及Ajax调用的一些更为复杂的Web页面内，返回的数据结果通常都是xml格式的。
Competing data could result in more complex integration specification that either prioritizes data from one data source from the other or includes the most recent data.
竞争数据可以导致更加复杂的集成规格的产生，无论数据是来自两个不同的数据源还是包含最新的数据。
Competing data could result in more complex integration specification that either prioritizes data from one data source from the other or includes the most recent data.
竞争数据可以导致更加复杂的集成规格的产生，无论数据是来自两个不同的数据源还是包含最新的数据。
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