This section focuses on problems around the modeling of data flows.
这一部分重点关注与数据流建模有关的问题。
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。
When there are service data flows, the workspace of ITCAM for SOA will reflect this.
当服务数据流出现时，ITCAM forSOA的工作空间将反映这一点。
The illustration below shows how the data flows between test drivers and the system under test.
下图演示了数据在测试驱动器与被测试系统之间的流动。
Consider who can use the API, what purposes it can be used for and whether data flows both ways.
考虑谁能使用API，它能被用于什么目的以及数据的流向是否是双向的。
People interact with databases: they direct data flows; they interpret and service data requests.
人与数据库交互：他们引导数据流的走向；他们解释并处理数据请求。
IBM has recently prototyped a software architecture that can deal with large amount of data flows.
IBM最近发布了能够处理海量数据流的软件架构原型。
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。
This use case describes how data flows between two systems that use a point-to-point transaction model.
此用例描述数据如何在使用点到点事务 模型的系统间流动。
Many business process models need to show how control and data flows branch and join within the process.
很多业务流程模型都需要显示控制流和数据流在流程中是如何分支和联接的。
Designing ETL jobs (or data flows) is an important aspect of integrating XML into data warehouse environments.
设计ETL任务(或数据流)是将XML集成到数据仓库环境的重要方面。
By using extension mappings, data lineage analysis can be performed on data flows external to Information Server.
通过使用扩展映射，就可以对InformationServer外部的数据流执行数据沿袭分析。
In general, data flows up, in events, toward the data processor, or down, via refresh, toward the event generator.
一般地，数据在事件中向上流向数据处理器，或者通过刷新向下流向事件生成器。
It then enables you to build the extract and load process, using SQL data flows or your own command and control functions.
它还支持使用SQL数据流或您自己的命令和控制函数构建提取和装载过程。
An access path graph not only describes the "operational details" of query execution, it also describes how the data flows.
访问路径图不但描述“操作细节”，而且描述数据如何流动。
Before you build a control flow that invokes each of your data flows, you should verify that each data flow works correctly.
在构建调用这些数据流的控制流之前，应该确认每个数据流可以正确地工作。
With your two data flows developed and tested, you're ready to build a control flow that executes these in the correct order.
两个数据流已经开发并测试完了，现在可以构建一个以正确次序执行它们的控制流。
Activities in UML are used to model flows of various kinds: signal or data flows, as well as algorithmic or procedural flows.
在UML中，活动被用来对不同种类的流程建模：信号流或数据流，也有算法流或过程流。
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。
This ensures semantic and structural interoperability when the data flows through the architecture layers during service execution.
这样可以确保服务执行期间数据在流经架构中各层时语义和结构的互操作性。
They are required to map between the different formats when the data flows from the service interface down to the database and back.
当数据在服务接口与数据库之间来回流动时，需要用这些操作来完成不同格式之间的映射。
Here, data flows through service composition logic, service implementation logic and potentially application and data integration logic.
在这种情况下，数据流要通过服务组合逻辑、服务实现逻辑以及应用程序和数据集成逻辑。
Note that journal mode, although the best way to ensure a consistent file system, is also the slowest, because all data flows through the journal.
注意，虽然Journal模式是确保文件系统一致的最佳选择，但它也是最慢的，因为所有数据都要经过日志。
In the second part of this series, you'll implement the same scenario using multiple data flows and a single control flow to manage the execution sequence.
在本系列的第二部分，您将使用多个数据流和一个控制流来管理执行序列，从而实现相同的场景。
Complex data flows in WebSphere DataStage are developed using a graphical "dataflow" -oriented paradigm that promotes reuse and enhances developer productivity.
WebSphereDataStage中使用图形化的面向数据流的范例(可以提高重用性以及开发人员的工作效率)设计了复杂的数据流。
Product implementations of the data consolidation pattern frequently provide highly sophisticated tooling support to specify the mappings (data flows) between the sources and the target.
数据整合模式的产品实现通常提供了非常复杂的工具支持，以指定源和目标之间的映射(数据流)。
Decentralized Information flow control (DIFC) is an approach to security that allows application writers to control how data flows between the pieces of an application and the outside world.
DIFC这种安全手段，让应用程序的作者能够控制应用的组成部分与外部世界之间数据如何流动。
Highlight the project you just created and navigate to the Data Flows folder.
选择刚才创建的项目，导航到Data Flows文件夹。
Data flows from the NWS server into my server, where the server-side script converts XML to HTML.
数据从NWS服务器流动到我的服务器，服务器端脚本将xml转换为HTML。
Data flows from the bottom up (as displayed in the graph) and is processed by operation nodes in the access path graph.
数据从下往上流动(如访问路径图所示)并通过访问路径图上的操作节点处理。
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