Azure Databricks is an analytics platform and often serves as the central compute component of a data platform, to process ETL/ELT data pipelines and data science workloads. As Databricks is a third-party platform-as-a-service offering securing it works differently to most other first-party services in Azure; for example, we can’t use private endpoints. (More on these in the Azure Storage post)
The two main approaches to working with Databricks in our secure platform are VNet Peering or VNet Injection
Click through to learn the difference between these two, as well as a few other factors to keep in mind as you’re deploying Databricks.