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databricks Databricks Release Notes ·

Databricks Dashboard Enhancements and Bug Fixes

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feature patch

Databricks has rolled out several updates to its dashboard functionality, including a new capability for authors to remove duplicate subscribers from dashboard schedules. The release also addresses multiple bugs, enhancing the reliability of importing Power BI and Tableau reports by fixing filter creation. Further improvements include correcting the y-axis tooltip order in line and area charts, preventing duplicate schedule emails, and resolving an issue with the "None" transform in pivot tables. These changes improve dashboard management, data visualization accuracy, and overall user experience for data professionals.

  • →Allow removal of duplicate subscribers from dashboard schedules
  • →Fixed missing filters when importing Power BI and Tableau reports
  • →Corrected y-axis tooltip order in line and area charts
  • →Prevented duplicate emails from dashboard schedules
  • →Resolved empty values with "None" transform in pivot tables
Features (1) ›
  • Allow removal of duplicate subscribers from dashboard schedules

    Dashboard authors can now remove duplicate email addresses from a dashboard's subscription list, streamlining the management of scheduled updates and notifications.

Fixes (4) ›
  • Fixed missing filters when importing Power BI and Tableau reports

    Resolved an issue where some filters were not correctly created when importing Power BI and Tableau reports using Genie Code (/importBI), improving the fidelity of imported dashboards.

  • Corrected y-axis tooltip order in line and area charts

    Addressed a bug where tooltips for line and area charts with a reversed y-axis incorrectly listed their series, enhancing readability and data interpretation for these chart types.

  • Prevented duplicate emails from dashboard schedules

    Fixed an issue that caused dashboard schedules to send redundant emails to the same subscriber, reducing inbox clutter and ensuring consistent notification delivery.

  • Resolved empty values with "None" transform in pivot tables

    Rectified a bug where applying the "None" transform on pivot table values resulted in empty cells, ensuring correct data display and preventing data loss in pivot tables.

Read the original announcement →

https://docs.databricks.com/aws/en/ai-bi/release-notes/2026#dashboard-enhancements-and-bug-fixes-1

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