Scheduling a machine learning pipeline in ADF

Perhaps ADF's best feature is its ease of use. By clicking and dragging objects across a screen, you can easily orchestrate a flow of seamless data ingestion, transformation, and ML through an ADF pipeline. Moreover, with a few more clicks, you can schedule that ADF pipeline to run whenever you want. Gaining this skill will enable you to create code-free data orchestration runs quickly and easily.

First, you will schedule and run the simplest ML pipeline you created in Chapter 9, Implementing a Batch Scoring Solution, the Iris-Scoring-Pipeline. To do so, follow these steps:

1. Navigate to your ADF resource and click Author & Monitor.
2. Click the pen icon on the left-hand side. When you hover over this icon, the word Author will appear to indicate which section you're navigating to.
3. Click the blue cross icon next to the search box under Factory Resources in the top-left corner. When you hover over this icon,...