In this chapter, we explored the possibilities of creating an Azure Databricks service either through the UI or the ARM templates, and explored the options in terms of enforcing access control on resources. We also reviewed the different authentication methods, the use of VNets to have a consistent approach when dealing with access policies throughout Azure resources, and how we use the Databricks CLI to create and manage clusters, jobs, and other assets. This knowledge will allow us to efficiently deploy the required resources to work with data in Azure Databricks while maintaining control over how these assets access and transform data.
In the next chapter, we will apply this and the previous concepts to run more advanced notebooks, create ETLs, data science experiments, and more. We'll start with ETL pipelines in Chapter 3, Creating ETL Operations with Azure Databricks.