Often you cannot make inferences because you do not have adequate controls in your data-collection process.
通常由于您对于数据采集的过程缺乏足够的控制，因此您不能做出推论。
In many situations, problems are uncovered in early analysis of source data, or later in the design and implementation of a data transformation process.
在很多情形下，问题是在源数据的早期分析中或稍后在数据转换过程的设计和实现中发现的。
As you might imagine, design is the most critical and complex phase in the data cleansing process.
正如您可能想到的，设计是数据清理流程中最重要和最复杂的阶段。
We have a simple interface map with underlying business object maps to translate between the data model used in the process, and the data model of the services we're choreographing.
我们有一个具有基础业务对象映射的简单接口映射，以便对流程中使用的数据模型与我们正在编排的服务的数据模型进行相互转换。
This is where you link the data from the business process with the data in the database.
这是您将业务流程中的数据连接到数据库中数据的地方。
In a process model the data flows through the tasks.
在一个流程模型中，数据在任务之间流动。
In this process, XML data is extracted and stored.
在这一过程中，XML数据被抽取并存储。
In user mode, programs have read and write access to the user data in the process private region.
在用户模式中，程序对进程专用区域中的用户数据具有读写访问权限。
For example, one process in an application gets account data from different information sources than a process in a different application.
例如，一个应用程序中的一个流程与另一个应用程序中的另一个流程从不同的信息源获取帐户数据。
After the pageview is stored in the logfile, the data collection process is complete.
页面视图存储在日志文件中后，数据收集过程至此完成了。
However, dangling data outputs show that a task or process produced some data, or data was involved in the branching modeled in some gateway, but this data is not used anywhere in the process.
不过，悬空的数据输出表明任务或流程产生了某些数据，或数据参与了在某个网关中建模的分支，但是这个数据没有被用在流程中的任何一个地方。
The data analyst should participate in this process to ensure high-level data quality requirements are included.
数据分析师应该参与这个过程，确保其中包含高水平的数据质量需求。
Depending on other data in your process, you might come across the service endpoint to use, or you might receive a service endpoint via a UDDI query you do during your control flow of the process.
取决于流程内的其他数据，您可能来到要使用的服务端点，也可能通过您在控制流程流的过程中进行的UDDI查询来接收服务端点。
Once the data is in the database, the process is complete.
数据一旦存入数据库，处理过程就完成了。
This approach focuses on only showing selected data flows in a process model.
这种方法只关注如何在某个流程模型中显示选定的数据流。
Only data in the process of being updated on the failing member is temporarily unavailable until recovery is complete.
只有出错成员正在更新过程中的数据在恢复完成之前暂时不可用。
We also update the chunk data to an In-process status before handing over to the downstream system.
我们还会在分段数据交给下游系统处理前将其更新为处理中状态。
In a traditional context, the output is most often applied to a database or further processed in a data consolidation process.
在传统上下文中，输出经常应用于数据库或在数据整合流程中进行进一步处理。
It is the only way to correctly capture how the data flow in a process branches based on the type of information, i.e., the business item.
如果您要通过捕获来了解数据是如何根据信息的类型(即业务项)流入分支的，这是唯一的方法。
Code operating in this mode has read and write access to the global kernel address space and kernel data in the process region when executing within the context of a process.
当在某个进程的上下文中执行以此模式运行的代码时，它不仅对全局内核地址空间具有读写访问权限，还将对该进程中的内核数据也具有读写访问权限。
An XSD file for the data types defined in the business process.
用于在业务流程中定义的数据类型的XSD文件。
After you receive the XML data, you can process it in the PHP XML parser.
获取XML数据后，就可以在PHP xml解析器中处理这些数据了。
In-process manual data validation is crucial for the correctness of input data.
过程内的人工数据的有效性对于输入数据的正确性十分关键。
You can process data in parallel.
可以并行地处理数据。
Therefore, another unit of work might take action on in-process data.
因此，另一个工作单元可能会对正在处理中的数据进行操作。
Separating the business process from its data has been a longstanding topic in business process management architectures.
将业务流程与其数据分隔开是业务流程管理领域的长期主题。
True grid processing, where an application is distributed across multiple processes such that execution is always co-located with the data, providing in-process data access performance.
真正的网格处理，其中应用程序跨多个进程分布，使执行始终与数据共存，从而提供进程内数据访问性能。
More importantly, the data collection process in qualitative research has a far greater impact on the results as compared to quantitative research.
更重要的是，相比定量研究，数据的收集过程对定性研究的结果有更重大的影响。
Make sure there is data to process in your underlying database.
确保在基础数据库中有要处理的数据。
Instead, repositories are used to store the data in the top level process.
而是使用存储库将该数据存储在顶级流程中。
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