Both, Azure Data Factory and Azure Databricks offer transformations at scale when it comes to ELT processing. On top of that, ADF allows you to orchestrate the whole solution in an easy way. In a case, when you prefer to use Scala, Python or SQL code in your process, rather than Mapping Data Flow in ADF - you must link ADF to Databricks. I will show you how to do that in two ways.

In this short video, I will present two methods and their differences, and as always the demo:
DEMO 1: Connect via PAT (Personal Access Token)
DEMO 2: Connect via MSI (Managed Identity Authentication)