Tutorials for streams flows

Use the following tutorials to gain hands-on experience in designing, running, and troubleshooting your streams flows. You can see how easy it is to design and deploy a streams flow.

Tutorials

Table 1 lists the tutorials, the interfaces that are demonstrated, and the learning objectives.

Table 1. Streams flow tutorials
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 Metrics page.
Tutorial: Use the canvas to create your own streams flow
  • Streams flow canvas
  • Data Historian sample data
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
  • Streams flow canvas
  • Metrics page of a streams flow
Take a deeper look at the Metrics page.
  • Learn how to find real-time metrics, runtime views, and valuable information about the general health of your streams flow.
  • Learn how to work with embedded logging and error notification for troubleshooting your streams flow.
Tutorial: Use a predictive model from Watson Machine Learning with streaming patient data
  • SPSS Modeler flow and its data in IBM Watson Machine Learning
  • Streams flow canvas
  • Metrics page of a streams flow
Integrate a predictive model from Watson Machine Learning with a streams flow.
  • In Watson Machine Learning, you create and edit an example SPSS modeler flow. Using that modeler, you build a predictive model of which drug is the most effective for different health metrics. The model also includes the confidence level of the likelihood that the drug is prescribed.
  • The streams flow ingests streaming patient metrics. Using those metrics, the predictive model tells us which drug would be most effective for each patient and the likelihood that the drug is prescribed.

Learn more

Check out the other videos in our YouTube playlist.