Deploying Databricks on Google Cloud Platform

Databricks now available on GCP as well ( Ofcourse already available in AWS & Azure ). In this ultra short article we will see how to deploy Databricks Workspace on GCP.

You should have an access to your Google Cloud Account with admin privileges ( billing administrator ) / viewer role.

In my case, I am using the FREE GCP account & trying to deploy Databricks for free one month trial. ( Do remember to cancel it before 30 days )

Let's start the Step by Step process.

Step1: Navigate to GCP console & select Databricks under Partner Solutions.

Step2: Purchase Databricks, FREE for 1 month option ( In my case, I have already done it ). Accept all the terms & conditions etc. You will see the below window after you filled up & accepted everything.

Step3: Click on "Manage on Provider" & click "Ok"

Step4: Sign in with the same id which you have for your GCP Account.

Step5: Click on "Create Workspace" & provide the information.

Workspace name: Provide the desired name

Region: Select anyone ( Near to you )

Google Cloud project ID: Get from GCP console

Step6: Click "Save" & Select the correct email id ( your GCP id ). Three time it will ask the permission to allow. Just allow

Step7: You may get the below error.

Step8: Please make Sure the below API are enabled. ( Very Important )

storage.googleapis.com

container.googleapis.com

deploymentmanager.googleapis.com

Step9: If everything is enabled then it will start provisioning.

Step10: Yes, Our workspace is running & ready to be used. ( We have the nice URL which is enabled now )

Step11: Click on the URL to go to the workspace. Select the correct GCP id & allow it.

Thats it. We are done. Now from here onwards everything remains the same the way we work in Azure, AWS or Community Edition Databricks.

This marks the end to this article. I hope, I am able to provide you something new to learn. Thanks for reading, Please provide your feedback in the comment section. Please like & share if you have liked the content. 

Thanks !! Happy Tuesday, Happy Learning !!