The WES-MOM system would be charge of the schedule and transmitting on control information, as well as data dealing with all sub-systems of the whole warehouse Logistics system.
在该方案中，WES - MOM中间件负责在仓储物流系统中所有应用子系统的数据及控制信息调度和转发工作。
The difficulty of dealing with intricate data flow leads to the third principle: Design your applications around XML processing pipelines to make data flow easier to factor into threat assessment.
处理复杂数据流的难度导致了第三条准则的出现：围绕XML处理管道来设计应用程序，从而让数据流更容易进入安全威胁评估。
Because traditional database managers and warehouses alone are often inadequate when dealing with big data, many organizations are adapting their systems to cope with a world of "badly behaved" data.
因为在处理大数据时，只有传统的数据库管理器和数据仓库是不够的，所以许多组织都在调整他们的系统以应付大量“行为不良”数据。
When dealing with relational data sources, this may cause concerns about response times and loads on the data source.
在处理关系数据源时，这可能会产生响应时间和数据源负载方面的问题。
In dealing with the data providers and understanding the system, it soon became apparent that the true users were the adjudicators.
在和各个数据提供方的会议和对系统不断理解的过程中，项目团队很快发现真正的用户是退休审核人员。
The last SQL task for dealing with data that you need to address is updating specific column values for selected rows in a table.
您需要进行的处理数据的最后一个SQL任务是更新表中选定行的特定列值。
Design patterns presented in this article define different approaches to dealing with the enterprise data in the SOA environment along with the drawbacks and advantages of each approach.
本文中展示的设计模式定义了在SOA环境中处理企业数据的不同方法，以及每个方法优缺点。
Some or all of the applications dealing with master data have a local database storing this information and maybe non-master data.
处理主数据的部分或所有应用程序用本地数据库存储这些信息，并可能同时存储非主数据。
We are now dealing with protection of data, not just of functionality.
我们现在讨论的是数据保护，而不只是功能保护。
Sequences provide flexibility when dealing with arrays of data that may have many values that are identical.
如果正在处理数据数组，其中许多值相同，那么序列就可以提供灵活性。
These commands are particularly useful for dealing with tabular data.
这些命令对于处理表格表数据尤其有用。
This typically requires understanding and dealing with data currency and synchronisation issues.
这通常要求了解和处理数据传播和同步问题。
Now let's look at some ways of dealing with data.
现在，让我们了解一下一些处理数据的方法。
Furthermore, backup and recovery times can be significantly reduced when using DPF, due to the smaller amounts of data that each partitioning machine would be dealing with.
而且，通过使用DPF，可以显著缩短备份和恢复时间，因为每台参与分区的机器需要处理的数据量更小了。
While many good tools for dealing with persistent data are available, they all involve a lot more work than simply manipulating an in-memory data structure.
虽然有许多处理数据持久性的好工具，但是它们需要的工作都比简单操纵内存中数据结构要多得多。
However, of all of these updates, the ones with the most general applicability are the performance enhancements for dealing with large volumes of data.
然而，所有这些更新中，绝大多数带有普遍适应性的是关于处理大量数据的性能加强的问题。
Importing data in various formats is a common task when dealing with databases.
处理数据库时，以不同格式导入数据是常见的任务。
And as a result, dealing with big data demands a level of database agility and changeability that is difficult or impossible to achieve using today's techniques alone.
结果，处理大数据需要一定程度的数据库敏捷性，以及难以或者甚至无法单独使用如今的技术实现的可变性。
Because you're dealing with a small amount of data for each record, this kind of query scales pretty well.
由于对于每个记录只需处理少量的数据，这种查询可以很好地进行扩展。
When you're dealing with simple data or service objects, writing unit tests is straightforward.
当您正在处理简单数据或服务对象时，编写单元测试很简单。
This is really handy if you're dealing with data that varies slightly, or data that has special characters that would be awkward to escape.
如果您需要处理一些略有变化的数据，或者包含难以进行转义的特殊字符的数据，那么使用这个符号是非常方便的。
This example is quite complex and combines a number of techniques for dealing with recursive data.
这个示例相当复杂，结合使用了多种处理递归数据的技术。
Often when dealing with data result sets, you only want to retrieve a subset at a time, perhaps to provide paged results on a web page.
通常在处理数据结果集时，一次只想检索一个子集，也许是在网页上提供分页结果。
The next scenario in dealing with data is when you don't control either endpoint.
处理数据遇到的下一种情况是两个端点都不能控制。
SCA and SDO combined form a common model for dealing with services and the data they offer.
SCA和SDO 的组合构成了一个通用模型，可以用于处理服务及其提供的数据。
When dealing with large amounts of data, the initial loading of the data into the table can present some performance challenges.
当处理大量的数据时，一开始将数据装载到表中时可能会遇到性能问题。
Dealing with data at this scale is a new frontier, and lots of different folks are approaching it in lots of different ways.
这种规模的数据处理是一种新的极限，许多人正在以多种不同的方式接近它。
The more data you amass, the tougher it is to comprehend what you're dealing with.
你积累的数据越多，要去领会它背后的深意就越难。
Because the API is low level, socket programming isn't suitable for dealing with complex data types.
由于API的级别很低，因此套接字编程不适于处理复杂的数据类型。
Because the API is low level, socket programming isn't suitable for dealing with complex data types.
由于API的级别很低，因此套接字编程不适于处理复杂的数据类型。
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