Databricks is a great data analytics tool for data science and data engineering, but provisioning Databricks resources (workspace, clusters, secrets, mount storage etc.) can be complex and time consuming.

Automating deployment of Databricks resources has been tricky in the past using Terraform an Infrastructure as Code tool. It has required using mix of Terraform Azure providers and/or ARM, PowerShell, Databricks CLI or REST APIs. This made it harder to repeat and caused inconsistent environments.

Databricks introduced its own Terraform provider to assist with deploying and managing Databricks resources into Azure, Google (GCP) and Amazon Web Services (AWS) cloud platforms. Giving the ability to automate deployment of Databricks resources at the time of provisioning the infrastructure, making it easier to manage and maintain.

This session will be introducing you to Terraform, Databricks provider and take you through the steps required to build an automated solution to provision Databricks workspace and resources into Azure cloud platform using Terraform.

By the end of this session, you will have everything you need to automate your Databricks environments deployments and ensure consistency.

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