Exploring the workspace

The workspace is within a Databricks ML environment. Each user of the Databricks ML environment will have a workspace. Users can create notebooks and develop code in isolation or collaborate with other teammates through granular access controls. You will be working within the workspace or repos for most of your time in the Databricks environment. We will learn more about repos in the Repos section:

Figure 2.3 – The Workspace tab

It’s important to note that the Workspace area is primarily intended for Databricks notebooks. While the workspace does support version control for notebooks using Git providers within Databricks, it’s worth highlighting that this version control capability within workspace notebooks is now considered less recommended compared to using repos.

Version control, in the context of software development, is a system that helps track changes made to files over time. It allows you to maintain...