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databricks Platform · Updated Jul 17, 2025

New workflow for creating metric views from dashboards

Create a metric view from a dashboard dataset: Authors can now promote a dashboard dataset to a metric view using the AI/BI dashboard data tab.

Update Open docs ↗release note ↗
What it does

Create a metric view from a dashboard dataset: Authors can now promote a dashboard dataset to a metric view using the AI/BI dashboard data tab. This article explains how to create and manage dashboard datasets using the dataset editor in an AI/BI dashboard. Define datasets To define or access existing datasets, click the Data tab near the upper left corner of your dashboard.

Why it matters

Materialized views cache query results and refresh them on a specified schedule, which can reduce query execution time when the same data is accessed repeatedly.

Key capabilities
Select a Unity Catalog object
Select a Unity Catalog object: Choose a table, view, or metric view as a data source. For most tables and views, datasets are…
Create a local metric view
Create a local metric view: Use the visual interface to define dimensions, measures, and joins scoped to your dashboard, without…
Upload file: Upload a new
Upload file: Upload a new asset to Unity Catalog. Click Upload file and select the Catalog, Schema, and Table name. You can set…
Architecture
Databricks Platform → Platform
In short

Create a metric view from a dashboard dataset: Authors can now promote a dashboard dataset to a metric view using the AI/BI dashboard data tab. This article explains how to create and manage dashboard datasets using the dataset editor in an AI/BI dashboard.

Read the full documentation ↗
Key takeaway
Create a metric view from a dashboard dataset: Authors can now promote a dashboard dataset to a metric view using the AI/BI dashboard data tab.
2025-07-17-new-workflow-for-creating-metric-views-from-dashboards Generated by the Databricks Updates Agent · browse all updates