Defining a workspace

It’s important to know that Databricks uses the word workspace to refer to two distinct components: an instance of Databricks (meaning your hosted Databricks deployment that you access via your unique URL address) and the folder environment for accessing your work products, like notebooks, queries, and dashboards.

Let’s go through the two components:

• Workspace as an instance: A Databricks account can have multiple workspaces attached to it, meaning instances of the DI Platform are deployed and often accessible from a browser, as mentioned previously, but are also accessible via an SDK or a REST API.
• Workspace as a folder: Workspace also refers to the folder that contains your user’s home folder, repositories, projects, and a shared folder that is visible to all users on the workspace instance. Often, users set their main system path to their Workspace folder to store their MLFlow experiments or Terraform states for pipeline deployment...