The next data flow is simpler.

下一个数据流更简单。

Finally, save the data flow.

最后，保存数据流。

The data flow occurs as follows.

数据流的发生顺序如下。

Struts data flow: component details.

Struts数据流：组件详细内容。

Data flow was synchronous with page reload.

数据流与页面重新加载同步。

In the wizard, enter a name for the data flow.

在向导中，为数据流输入一个名称。

The design of the second data flow is simpler.

第二个数据流的设计更简单。

Place this beneath the first data flow operator.

把它放在第一个数据流操作符下面。

Finally, review the business model and data flow.

最后，检查业务模型和数据流。

Gateway form versus activity form with data flow.

数据流的网关形式和活动形式。

Drag it onto the left side of the empty data flow.

将它拖放到空白数据流的左侧。

The complete data flow is shown below in Figure 6.

图6显示了完整的数据流。

Return to the graphic view of the data flow design.

返回到数据流设计的图形视图。

Design data flow process to populate OLAP data marts.

设计数据流过程来填充olap数据市场。

Complete the following steps to create the data flow.

按以下步骤创建这个数据流。

Your new data flow should appear similar to Figure 1.

新的数据流应该与图1相似。

Your new data flow should appear similar to Figure 2.

新的数据流应该与图2相似。

Futures - Used to integrate data flow with control flow.

期货(Futures)——用于通过控制流来集成数据流。

Figure 4 illustrates the work and data flow for heat maps.

图4演示了热图的工作和数据流。

In addition the model shows data flow to local repositories.

另外，该模型显示了到局部存储库的数据流。

At the start of a flow, there might be an incoming data flow.

在流的开始处，可能存在传入的数据流。

This enables you to easily test the data flow multiple times.

这样便于多次测试数据流。

We also give hints on how to avoid clutter in data flow models.

我们还提供了关于如何避免使数据流模型中出现混乱的提示。

Figure 3 illustrates the work and data flow for active systems.

图3演示了活动系统的工作和数据流。

The previous Bluetooth device examples showed network data flow.

前面的Bluetooth设备示例展示了网络数据流。

This will enable you to easily test the data flow multiple times.

这样便于多次测试数据流。

Drag this operator to the right of the existing data flow operator.

把这个操作符拖到现有数据流操作符的右边。

Ignore any errors that might appear because the data flow is empty.

忽略可能出现的任何错误，因为数据流现在是空的。

Data flow analysis can examine problems that span multiple classes.

数据流分析可以检查跨越多个类的问题。

The UIMA framework manages the components and the data flow between them.

UIMA框架管理组件和在它们之间流动的数据。