Freshness on explores’ sources
Name the tables that power critical Looks.
Technology
Looker
Watch the BigQuery marts behind Looker before explores lie.
The problem
Looker still renders. The mart underneath went quiet Friday.
The outcome
VectorData monitors warehouse freshness and dbt health for the tables Looker trusts.
Marts first
Source of truth
Freshness
SLA hours
dbt
Upstream breaks
Capabilities
dbt linkage
When models fail, KPI impact is visible.
Cost awareness
Heavy explores that scan too much.
Integration leaf
See /integrations/looker.
- ✓Integration page: /integrations/looker
- ✓Learn: /learn/looker-freshness
- ✓Security: metadata only
- ✓Demo without credentials
Related
Google BigQuery
Freshness and cost signals from BigQuery metadata — never your result rows.
Read →dbt Core & Cloud
Failed models and tests, grouped — not twenty Slack pings overnight.
Read →Slack alerts
One calm alert per root cause — routed where your team already works.
Read →Snowflake
Freshness SLAs on Snowflake marts — same calm Watchdog queue as BigQuery + dbt.
Read →