Fields from the eForm are then mapped to data fields in the process flow.
然后，将eForm中的字段映射到流程流中的数据字段。
In this process, XML data is extracted and stored.
在这一过程中，XML数据被抽取并存储。
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。
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。
The most commonly used data stored in WebSphere Process Server backend databases are business process and human task related information.
WebSphereProcessServer后端数据库中存储的最常用的数据是与业务过程和人工任务相关的信息。
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。
The Transform activity lets you introduce some more sophisticated data transformation in the process, without having to call a specific external service.
Transform活动使您在没有调用特殊的外部服务的情况下在流程中引入更多复杂的数据转换。
However, you can use the data entered in the form in the process, just as business item instance data, to make branching decision based on the actual values.
然而，您可以在流程中使用表单中输入的数据，就像它们是业务项实例数据一样，以基于实际值做出分支决策。
Similarly, to avoid duplicate data type names in WebSphere Process Server, every business object has its own Namespace, which corresponds to its data catalog in WebSphere business Modeler.
类似地，为避免在WebSphereProcessServer中有重复的数据类型名，每个业务对象都有其自己的命名空间，该命名空间与其在WebSphereBusiness Modeler中的数据目录相对应。
Data passed through the business process is in the form of business items which are described as XML schemas.
在业务流程中传递的数据采用以xml模式描述的业务项的形式。
The need to easily provision various test data scenarios in a repeatable, reliable, and stable process.
需要在一个可重复、稳定、可靠的流程内轻松地提供各种测试数据场景。
Just getting all of the data persisted somewhere useful is the relatively easy step in this process.
在这个过程中，仅仅把所有数据持久化到某个有用的地方只是相对简单的一步。
Even details about elements and the structure of the document become hidden in the objects created by the data binding process.
即使是元素的细节和文档结构也隐藏在了数据绑定处理创建的对象之下。
This process is often applied to the complete data set in the sources — that is, without security restrictions.
通常将这个过程应用于数据源中完整的数据集，即没有任何安全限制。
You can see that I was able to acquire and process the data for 81 endpoints in a matter of seconds!
可以看到我能够在几秒内获取并处理81个端点的数据！
Therefore, capturing the data flow of a process is usually an important phase in a business process modeling project.
因此，捕获流程中的数据流，通常是业务流程建模项目中的一个重要阶段。
To correctly capture complex data flows, you might need to mix both forms in a single process model.
为了正确地捕获复杂的数据流，您可能需要在单个流程模型中混合使用这两种表。
After the XML data is indexed, you can query it quickly on subsequent searches to access data to be used in a diff process.
在XML数据被索引之后，您可以在后续的搜索中快速地查询，以访问将用在diff过程中的数据。
Incremental backup is the process of copying data sets in the Hierarchical Storage Manager.
增量备份法是指在存储管理程序中，复制若干数据集的处理方法。
In the process of merging the data some information is lost, leading to an imprecise analysis.
在合并数据的处理中，一些信息被遗失，导致不精确的分析。
In this column, I'll walk you through the process of adding and removing data partitions, and I'll show you how enhancements made in DB2 9.7 can make the process easier and faster.
在本专栏中，我将逐步介绍添加和删除数据分区的流程，并展示DB 2 9.7中的增强如何使这个流程更简单快速。
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。
The process of performing data analysis in the context of a set of SOA requirements is very similar to any data quality initiative.
对于 SOA 项目，执行数据质量分析的过程与其他项目的数据质量分析相似。
Decouple access to the integrated target data from the process of integrating and transforming data from sources into the target in order to allow for scalability and performance.
分离对集成目标数据的访问与将不同来源的数据集成和转换到目标的过程，以提供好的可伸缩性和性能。
We've used a prepared statement in the above to make the process of filling in the data much easier within the query.
我们在上面的代码中使用了一个预编译语句，以使得能够更容易地在查询中填充相关的数据。
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。
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。
The functionality of LockManager is to lock a particular data for a thread in a process across all Replicators.
LockManager的功能是在所有Replicator上为进程的某个线程锁定一个特定数据。
The first step in the process was to identify and agree upon a common data format.
该过程的第一步是确认并达成一个通用的数据格式。
Complex control and data flows easily lead to multiple connections in process models, which are another source of cluttered models.
复杂的控制和数据流容易导致流程模型中出现多个连接，这是产生混乱的模型的另一个来源。
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