Lakeview Dashboard¶

The WAF Assessment Dashboard is a Databricks Lakeview dashboard automatically deployed and published by the installer. It provides real-time WAF scores across four pillars and includes an embedded Genie AI assistant tab.

WAF Dashboard

Pillar tabs¶

The dashboard has one tab per pillar plus a Summary:

Tab	Pillar	What it measures
Reliability	Reliability	System resilience, backup coverage, multi-region posture
Governance	Governance	Data governance, access controls, Unity Catalog adoption
Cost Optimization	Cost	Compute efficiency, idle resources, cost per DBU
Performance Efficiency	Performance	Query performance, warehouse utilization, serverless adoption
Summary	All pillars	Aggregated scores with completion-percentage bar chart
AI Assistant	—	Genie Space embedded directly in the dashboard

Score bands¶

Each control is scored 0–100 and grouped into bands:

Band	Score range	Meaning
Critical	0–40	Significant gaps — immediate attention needed
At Risk	41–60	Below threshold — improvement plan recommended
Progressing	61–80	On track — keep iterating
Mature	81–100	WAF-aligned — maintain and monitor

Data sources¶

The dashboard reads from {catalog}.waf_cache tables, which are populated by the WAF Reload Job from these system tables:

system.billing.usage — cost and DBU usage
system.compute.clusters — cluster configurations and policies
system.compute.warehouses — warehouse usage patterns
system.access.audit — access and permission events
system.query.history — query performance metrics
system.information_schema.tables — table metadata and governance signals
system.mlflow.experiments_latest — ML experiment tracking

AI Assistant tab¶

The AI Assistant tab is the Genie Space embedded directly inside the dashboard via uiSettings.overrideId. No manual linking is required — it is configured automatically during install.

See Genie AI Space for full details on what the AI assistant can do.

Refreshing data¶

Dashboard data reflects the last time the WAF Reload Job ran. To refresh:

Click Reload Data in the Databricks App, or
Run the WAF Reload Job manually from the Databricks Jobs UI

The job takes ~3–5 minutes to complete. The dashboard updates automatically once new data is written to waf_cache.

Embedding¶

The dashboard is embedded inside the Databricks App via an <iframe>. The installer automatically configures *.databricksapps.com as an allowed embedding domain.

Workspace-level embedding must be enabled by an admin

If you see "Embedding dashboards is not available on this domain", a workspace admin must first enable embedding in Admin Console → Advanced. See Troubleshooting for details.