• The next data flow is simpler.

    一个数据更简单。

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  • Finally, save the data flow.

    最后保存数据

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  • The data flow occurs as follows.

    数据发生顺序如下

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  • Struts data flow: component details.

    Struts数据组件详细内容

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  • Data flow was synchronous with page reload.

    数据页面重新加载同步

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

    向导中,数据输入一个名称

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  • The design of the second data flow is simpler.

    第二数据设计简单。

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  • Place this beneath the first data flow operator.

    放在第一数据操作符下面。

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  • Finally, review the business model and data flow.

    最后检查业务模型数据

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  • Gateway form versus activity form with data flow.

    数据网关形式活动形式。

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

    放到空白数据左侧

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  • The complete data flow is shown below in Figure 6.

    6显示完整数据

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  • Return to the graphic view of the data flow design.

    返回数据设计图形视图

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  • Design data flow process to populate OLAP data marts.

    设计数据过程填充olap数据市场

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  • Complete the following steps to create the data flow.

    以下步骤创建这个数据

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  • Your new data flow should appear similar to Figure 1.

    新的数据应该1相似

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  • Your new data flow should appear similar to Figure 2.

    新的数据应该2相似

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  • Futures - Used to integrate data flow with control flow.

    期货(Futures)——用于通过控制集成数据流。

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

    4演示了热图工作数据

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  • In addition the model shows data flow to local repositories.

    另外模型显示了局部存储库数据

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

    开始处可能存在传入数据流。

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

    这样便于多次测试数据

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

    我们提供了关于如何避免使数据模型出现混乱提示

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

    3演示了活动系统工作数据

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  • The previous Bluetooth device examples showed network data flow.

    前面Bluetooth设备示例展示了网络数据

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

    这样便于多次测试数据

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

    这个操作现有数据操作符右边

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

    忽略可能出现任何错误因为数据现在的。

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  • Data flow analysis can examine problems that span multiple classes.

    数据分析可以检查跨越多个问题

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

    UIMA框架管理组件它们之间流动数据

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