Finally, you have Databricks up and running on whatever your platform of choice is. For the most part, it doesn’t really matter if you’re on AWS or Azure from a user interface standpoint; Databricks looks the same.
When working with Databricks, you’ll interface with workspaces, clusters, notebooks, and several other things. In this chapter, we’ll go through them all, get familiar with them, and start testing them out. These are the fundamentals you need to find your way around the Databricks UI.
What you have created so far is what Databricks calls a workspace. ...
