Navigate the workspace

  • Article

Note

The experience in this article is being replaced with the new unified navigation experience.

This article walks you through the Azure Databricks workspace, an environment for accessing all of your Azure Databricks objects.

You can manage the workspace using the workspace UI, the Databricks CLI, and the Workspace API. Most of the articles in the Azure Databricks documentation focus on performing tasks using the workspace UI.

Use the sidebar

You can access all of your Azure 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 Databricks logo, and select a persona.

    change persona

  • To pin a persona so that it appears the next time you log in, click pin persona 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.

  1. Click the workspace name in the top bar of the Azure Databricks workspace.
  2. 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:

  1. Click Help icon in the top bar of the Azure Databricks workspace.
  2. Select one of the following options:
    • Help Center: Submit a help ticket or search across Azure Databricks documentation, Azure Databricks Knowledge Base articles, Apache Spark documentation, and Databricks forums.
    • Release Notes: View Azure Databricks Release notes.
    • Documentation: View Azure Databricks documentation.
    • Knowledge Base: View Azure Databricks Knowledge Base.
    • Databricks Status: View Azure Databricks status by region.
    • Privacy Policy: View Microsoft privacy statement.
    • Feedback: Provide Azure Databricks product feedback.