Tutorials for stream flows
Use the following tutorials to gain hands-on experience in designing, running, and troubleshooting your stream flows. You can see how easy it is to design and deploy a streams flow.
Table 1 lists the tutorials, the interfaces that are demonstrated, and the learning objectives.
|Tutorial||Interfaces used||Learning objectives|
|Overview of streams flow||If you're new to streams flow, start with this introductory video that shows you how to get the most out of your data.|
|Tutorial: Create and run a Data Historian example streams flow||Data Historian example streams flow and its sample data||Learn how to create a simple streams flow by using the Data Historian example streams flow and its sample data. You see the data that flows in the
|Tutorial: Use the canvas to create your own streams flow||
||Become familiar with the various features of the canvas to manually design your streams flow. You use sample data rather than your own data.|
|Tutorial: Use the Metrics page to monitor data flow and troubleshoot problems||
||Take a deeper look at the Metrics page.
|Tutorial: Use a predictive model from Watson Machine Learning with streaming patient data||
||Integrate a predictive model from Watson Machine Learning with a streams flow.
Check out the other videos in our YouTube playlist.