Closed liupeirong closed 3 years ago
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One of the reasons doing MLOps is to automate all the steps needed from source(raw?) data to the deployment of a model for inference. With that automation in place it is just a natural step to trigger these automated runs when the source data changes. We want to demonstrate how to use Azure Functions to trigger the AML pipeline on changes to the source data in a data store.
The project teams implemented this feature already in the field.