Navigate the workspace
Note
The experience in this article is being replaced with the new unified navigation experience.
This article walks you through the Databricks workspace, an environment for accessing all of your Databricks objects.
You can manage the workspace using the workspace UI and the Workspace API. 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 the workspace name in the top bar of the Databricks workspace.
Select a workspace from the drop down to switch to it.
Change the workspace language settings
The workspace is available in multiple languages. To change the workspace language, click your username in the top navigation bar, select User Settings and go to the Language settings tab.
Get help
To get help:
Click
in the top bar of the Databricks workspace.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.