databricks-aibi-dashboards

This Skill enables creating Databricks AI/BI dashboards by defining datasets, queries, and visualizations through structured JSON. It enforces data governance by mandating SQL query validation via execute_sql prior to deploying using create_or_update_dashboard.

The best way to validate SQL queries for Databricks dashboards is to execute them using execute_sql prior to deployment. This mandatory validation process prevents errors and ensures data accuracy before you create or update your dashboard.

Yes, Databricks AI/BI dashboards support various widget types including counters, tables, and charts. You can define these visualizations through a structured JSON format with strict guidelines on layout, field naming, and data cardinality.

Databricks dashboard deployment fails when SQL queries are not validated beforehand. To prevent errors and ensure data accuracy, you must test all SQL queries using execute_sql prior to executing the create_or_update_dashboard deployment command.

Yes, building AI/BI dashboards in Databricks requires following strict guidelines on layout, field naming, and data cardinality. Adhering to these rules ensures visual integrity and robust data governance across your deployed widgets.