Basically, how software is working with data internally.
大致说来，就是软件内部如何与数据同时工作。
These controls require a new way of working with data - bound controls in your application.
这些控制要求一个新的方式与在您的应用的数据一定的控制一起使用。
DataObject: the core interface for working with data objects is the DataObject (no surprise there).
DataObject：处理数据对象的核心接口是DataObject(这并不足为奇)。
It also teaches you how to create DOM objects in your own projects for storing or working with data.
它还将教您如何在自己的项目中创建DOM对象，用以存储和操作数据。
When you're working with data, it's critical that you think imaginatively about how you present that data as content.
处理数据时，务必仔细考虑如何将该数据表示为内容。
This approach also introduces fewer bugs since, instead of directly working with data structures, only methods are used.
这种方法引入的错误也更少，因为它只使用方法，而不直接使用数据结构。
In the long term, this will change the way you think about working with data and lead to improvements in your database code.
长期来看，这会改变你与数据打交道时的思维方式，使你的数据库代码得到改进。
That is ultimately what data binding is about — working with data in a logical manner, rather than worrying about its structure.
基本上数据绑定也是如此，按照逻辑处理数据，而不用担心其结构。
LINQ simplifies this situation by offering a consistent model for working with data across various kinds of data sources and formats.
LINQ提供一致的模型来使用各种资料来源和格式的资料，从而简化此情况。
Part of the goal of these exercises is to give you practice with working with data, estimating models and making sense of the results.
这样的部份目的是要让你练习如何使用数据、估计模型和使答案合理化。
In fact, I highly recommend if you get involved in using WEKA on your server, you spend some time doing that, since working with data in this way is tedious.
实际上，我强烈建议如果打算在服务器上使用WEKA，那么就不要怕花时间，因为以这种方式处理数据是很繁琐的。
When working with data and content, there are primarily two key milestones to meet: identification of data sources and development of an integration strategy.
在处理数据和内容时，主要要达到两个里程碑：标识数据源和开发集成策略。
When working with data spread across multiple files or tables, or when pulling data together from diverse sources, there must be a means to relate the data together.
当使用分布在多个文件或表中的数据，或者收集来自不同源的数据时，必须有一种方式将数据关联在一起。
If you are working with data sets, then you will love this program that will allow you to upload data, create visual representations, and take part in discussions about the data.
如果你工作中使用数据集，你会喜欢上这个程序。此程序允许你上传数据，创建可视化表示，并参与关于数据的讨论。
With the release of SQL Server 2005 and Visual Studio 2005 we delivered significant new improvements to make developers more productive when working with data stored in SQL Server.
随着SQLServer 2005和VisualStudio 2005的发布，我们提供了新的重大改进，使得开发人员可以更加高效地处理那些存储在SQL Server上的数据。
She enjoys working with data - establishing and maintaining large databases, looking for trends within the data to create reports that can be used as tools to maintain production efficiency.
她喜欢数据工作-如创建和维护大型数据库，利用数据预测行业走势以保证生产效率。
These are major limitations -- much of the utility of data binding comes from the convenience of working with typed data values and transparently handling linkages between objects.
这存在很大的局限性 ―由于数据绑定可以利用类型数据值和对象间链接的透明处理所提供的便利性，因此这给数据绑定带来许多实用性。
Core SDO concepts are defined by the SDO model and a small number of interfaces that enable working with instance data managed in accordance with the model.
SDO的核心概念是通过sdo模式和少量的接口定义的，这些接口用于实现与受该模式管理的实例数据进行的交互。
With data binding your application can largely ignore the actual structure of XML documents, instead working directly with the data content of those documents.
有了数据绑定，应用程序可以在很大程度上忽略XML文档的实际结构，而直接使用那些文档的数据内容。
That's a nice improvement over working with XML data as CLOBs or VARCHARs, which require maximum lengths.
与将XML数据作为CLOB或VARCHAR处理(这需要指定最大长度)相比，这是一项不错的改进。
It minimizes the implementation complexity of working with shards data.
它最小化处理碎片数据的实现复杂性。
It is aimed at developers who have an understanding of XML and wish to learn this lightweight, event-based API for working with XML data.
它专门针对以下开发人员：他们理解XML，并且希望学习这个用于处理XML数据的轻量级的、基于事件的API。
If you are working with large data sets, consider using a dedicated buffer pool for the table space.
如果是使用大型数据集，可考虑用专用的缓冲池来代替表空间。
They are all common problems that people encounter when working with a data binding API — for that matter, many apply to all new and cool APIs.
这都是人们在使用数据绑定api时经常遇到的问题，其实，很多问题都适用于所有新的、优秀的API。
If you're working with highly structured data with lots of relationships, it's the way to go.
如果所处理的数据结构复杂，并具有多种关系，那么这么做是很合理的。
If you're already familiar with SQL, you can immediately apply your skills to working with XML data stored natively in DB2.
如果您已经熟悉SQL，那么很快就可以将这方面的技能转化到对存储在DB 2中的本地XML数据的处理上。
It may just be that working with more realistic data made the model work better.
那么用更为接近实际的数据做出模型或许更为可靠。
Most of the tools and techniques I discuss are also a serviceable means of working with more data-oriented XML documents, but the emphasis in this column is working with marked-up prose.
我所讨论的大多数工具和技术也是使用更多面向数据XML文档的有用方法，但本专栏的重点是使用标记过的散文。
Want to know more about working with XML and data?
想了解更多使用XML和数据的知识吗？
Want to know more about working with XML and data?
想了解更多使用XML和数据的知识吗？
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