Exercise 3: Data Science experience, including Machine Learning scenarios

So, we saw how Contoso was able to combine their historical gold layer data from ADLS Gen2 with all the data in OneLake via shortcuts. We saw delta live tables being created for further curation of data in Azure Databricks. Next, as Miguel, the Data a Scientist, you can explore the power of ML models in Azure Databricks being leveraged on that data so Contoso can gain meaningful insights about customer churn predictions.

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Table of contents

• 1. Build ML models, experiments, and Log ML model in the built-in model registry using MLflow and batch scoring