Using data is a complex business.
使用数据是一项复杂的工作。
Again, we will talk about complex data types in the next article in this series.
再次说明，我们将在本系列的下一篇文章中讨论复杂数据类型。
The data is complex, but we understand the structure very well.
数据是复杂的，但我们对结构的了解很充分。
This results in both code bloat and an overly complex data model for your application.
对于应用程序，这导致代码过度膨胀以及数据模型过度复杂。
Then he presented his data on four complex graphs squeezed into a single slide.
然后他将有关四个复杂图表的数据全部挤到了单张幻灯片中。
Another problem: Experts are inconsistent in how they analyze complex data.
另一个问题在于：专家分析复杂资料的方式并不始终如一。
But most programs are not simple and involve complex data often composed of simple types.
但是多数程序并不简单，它们涉及通常由简单类型组成的复杂数据。
Application of complex data transformations on the data.
对数据应用复杂的数据变换。
Only the public properties are available for a complex data type.
对于复杂数据类型来说，仅有公共属性才是可用的。
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。
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。
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。
Part 2 will cover complex reports and nested data sets.
第2篇涉及了复杂的报表与固定的数据集。
By using XML they were able to simplify the structure, particularly for complex data.
使用XML可以简化传递的数据结构，尤其是复杂的数据。
On large or complex data items, this broadcast could get quite complex.
对于复杂的大数据条目，这种传播方式会非常复杂。
For instance, complex data relationships would require full referential integrity enforcement.
比如，复杂的数据关系要求有完全的引用完整性限制。
A modern enterprise is a complex infrastructure with data playing a crucial role.
现代企业是一个复杂的基础设施，数据在其中扮演着重要的角色。
This is processing intensive and complicated because the message body often includes complex data types.
这个过程需要进行大量的处理，非常复杂，因为消息体常常包含复杂的数据类型。
Why is complex data wrapped inside an intermediate type?
为什么要把复杂数据包装在中间类型中呢？
The larger the source data model, the more complex this task can become.
源数据模型越大，此任务就会变得越复杂。
Complex problems can often be solved quickly if data can simply be organized well.
如果数据可以进行良好地组织，那么即使是复杂的问题通常也能够快速得到解决。
The ease with which even complex analysis of PDB data can be carried out.
PDB数据的复杂分析也能进行得如此容易。
Some orthographies require little FLT data; others require immense information to capture complex rules.
有些拼字法需要少量的FLT数据；另外一些字符则需要很多信息来捕获复杂的规则。
Each of these is a complex data type containing structured information describing specific platform qualities.
这三个类中的每个类都是一个复杂的数据类型，包含用于描述特定平台性质的结构化信息。
Data table controls are more complex, because they contain multiple child controls, such as Columns.
数据表控件更加复杂，因为它们包含了多个子控件，例如Columns。
Complex data type support for cooperative portlets.
对于协同portlet的复杂数据类型支持。
So the question now becomes, "How do you handle complex data in Python?"
因此，现在的问题就成了“如何在Python 中处理复杂数据？”
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。
This article will show how to add complex data tables to your Web application.
本文将向您展示了如何向您的Web应用程序中添加复合数据表格。
In a Web service, you use an object called a complex data type.
在Web服务中，使用一个称为复杂数据类型的对象。
应用推荐