Navigate the workspace

A Databricks workspace is an environment for accessing all of your Databricks assets. The workspace organizes objects such as notebooks, libraries, experiments, queries, and dashboards into folders, and provides access to data and computational resources such as clusters and jobs.

You can manage the workspace using the workspace UI and the Databricks REST API reference. Most of the articles in the Databricks documentation focus on performing tasks using the workspace UI.

Use the sidebar

You can access all of your Databricks assets using the sidebar. The sidebar’s contents depend on the selected persona: Data Science & Engineering, Machine Learning, or SQL.

By default, the sidebar appears in a collapsed state and only the icons are visible. Move your cursor over the sidebar to expand to the full view.
To change the persona, click the icon below the Databricks logo , and select a persona.
To pin a persona so that it appears the next time you log in, click next to the persona. Click it again to remove the pin.
Use Menu options at the bottom of the sidebar to set the sidebar mode to Auto (default behavior), Expand, or Collapse.
When you open a machine learning-related page, the persona automatically switches to Machine Learning.

Switch to a different workspace

If you have access to more than one workspace in the same account, you can quickly switch among them.

Click in the lower left corner of your Databricks workspace.
Under Workspaces, select a workspace to switch to it.

Search the workspace

To search the workspace, click Search in the sidebar. See Search Databricks for details.

Get help

To get help:

Click the Help in the lower left corner:
Select one of the following options:
- Help Center: Submit a help ticket or search across Databricks documentation, Databricks Knowledge Base articles, Apache Spark documentation, and Databricks forums.
- Release Notes: View Databricks Release notes.
- Documentation: View Databricks Documentation.
- Knowledge Base: View Databricks Knowledge Base.
- Databricks Status: View Databricks status by region.
- Feedback: Provide Databricks product feedback.