You can now use the Request data type in your process.
现在您可以在您的流程中使用Request数据类型。
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。
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。
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。
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。
The data from that message is stored in a process variable.
这条消息的数据存储在流程变量中。
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。
However, in the process AXIOM disconnects itself from the data stream.
但是这个过程中,AXIOM断开了自身和数据流的连接。
Many times a business process needs to access data residing in a business system.
在许多时候,业务流程需要访问驻留在业务系统中的数据。
In an SOA world, business process and data modeling are closely related.
在SOA领域,业务流程与数据建模紧密关联。
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。
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 beginning of a visual data exploration process, all markers have a common color.
在视觉数据探索步骤的开始,所有的标记颜色都相同。
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。
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。
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。
Programs to process the data have been in use for several years.
处理资料的程序已经应用了好几年。
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。
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。
In the IT system, there is no real process that lasts more than a few minutes; the state of the business process persists as data in a database between events.
在IT系统中,没有实际的流程会持续几分钟以上;事件之间的业务流程状态以数据的形式保存在数据库中。
The more frequently data in the sources changes between the refresh cycles of the consolidation process, the more stale the data becomes in the target.
在整合过程的刷新周期之间,数据源中数据的更改越频繁,目标中的数据就会变得越陈旧。
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