Product area
Dashboards
AI/BI Dashboards: datasets, visualizations, filters, publishing, and dashboard tasks in jobs.
Concepts
- 1AI/BI dashboardsAn AI/BI dashboard is a collection of visualizations built on top of datasets — saved queries against Unity Catalog tables and views — arranged on one or more pages, with shared filters and parameters. It is the built-in BI layer of the workspace: no separate…Beginner
- 2Modelling data inside a dashboardEvery visualisation in an AI/BI dashboard reads from a dataset. On top of datasets there are three further ways to shape data without duplicating logic, and choosing between them is the whole of dashboard modelling:Intermediate
- 3Dashboard schedules and subscriptionsA schedule on a published AI/BI dashboard reruns every dataset query on a cadence you set. A subscription attaches recipients to that schedule, so each run also delivers a snapshot of the dashboard to email, a Slack channel or a Microsoft Teams channel.Intermediate
- 4Dashboard filters, parameters and variablesAn AI/BI dashboard becomes interactive through four mechanisms, operating at different layers:Intermediate
Also covered here
- Metric viewsA metric view is a Unity Catalog securable whose definition is a YAML document rather than a SELECT. The YAML names a source, optional joins and a filter, then two lists: fields (scalar expressions you group and filter by) and measures (aggregate expressions…
- Query parameters and session variablesA named parameter marker is a colon followed by a name, written where a value would go: WHERE fareamount < :fareparameter. It is a typed placeholder, not text substitution. The value is supplied when the statement runs, by the widget the surface renders, by…
News
Resources
Nothing of that kind for this area. Try the full list.