Databricks Enhances Dashboards and Genie Code with New Features, Fixes
Databricks has rolled out several enhancements to its dashboarding capabilities and Genie Code for improved authoring and accuracy. Users can now benefit from automated dashboard relationships in imported BI files and customizable date pickers, alongside full undo/redo functionality in Genie Code. Semantic validation for AI-authored metrics and improved low-code options for metric views aim to boost data consistency and developer efficiency. Additionally, dashboard authors can now include applied filters in email attachments, and various bug fixes address user experience issues.
- →Dashboard Relationships from Imported BI Files
- →Semantic Validation for AI-Authored Metrics
- →Enhanced Dashboard Functionality
- →Genie Code Enhancements for Dashboard Authoring
- →Improved Metric View UI and Filtering
Features (3) ›
- Dashboard Relationships from Imported BI Files
Databricks migration tooling now automatically creates dashboard relationships when importing Power BI or Tableau files using Genie Code, detecting relationships present in the source file.
- Semantic Validation for AI-Authored Metrics
Genie Code for dashboard authoring automatically performs semantic validation after creating a widget, checking business definitions, grain, attribution, and other values to improve metric accuracy and consistency.
- Enhanced Dashboard Functionality
Cross-filtering on faceted charts now includes the facet field as part of the filter. Dashboard authors can also include applied filters as a separate tabular attachment in email subscriptions.
Enhancements (2) ›
- Genie Code Enhancements for Dashboard Authoring
Genie Code for dashboard authoring now allows customization of quick-select options in date range pickers and supports full undo and redo functionality, treating each Genie Code response as a single undoable step.
- Improved Metric View UI and Filtering
Local metric views now offer a low-code option for adding filters to measures, and metric views imported from Unity Catalog utilize an improved low-code UI for extensions and modifications. Dashboard widgets also display defined display names for fields in local metric views.
Fixes (1) ›
- Key Bug Fixes for Dashboard Display
Databricks resolved issues where the filter drop-down scrollbar did not appear in dark mode and where tooltips were missing on line charts, improving the overall dashboard user experience.
https://docs.databricks.com/aws/en/ai-bi/release-notes/2026#dashboard-enhancements-and-bug-fixes-4
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