BigQuery · Status at source date: Newsletter archive
BigQuery adds update-based triggers for scheduled queries
Google has launched update-based triggers in BigQuery, flagged by Johan Strand and Luka Cempre. Scheduled queries can now run when a table changes, rather than only on a schedule, so aggregated tables update as soon as new data lands in the warehouse, not waiting for the next scheduled run.
What changed
It removes a long-standing workaround that involved logging routers and cloud functions to respond to table changes.
For measurement and analytics engineers, event-driven query execution makes downstream tables fresher and pipelines simpler, a quality-of-life improvement many had wanted for years.
Why it matters for advertisers
For you, this means BigQuery pipelines can react to new data immediately rather than on a fixed schedule. Worth switching latency-sensitive aggregations to update-based triggers so dashboards and downstream tables reflect new data sooner.
Perspective from the original PMC newsletter.Sources & contributor credit
- Newsletter coverage · Paid Media Collective newsletter
Original newsletter text, contributor labels and media for this update.
- Source referenced in newsletterLinkedIn
Linked from the original newsletter. The source publication date has not been independently confirmed.
Original creator unverified
The names below are source credits. The original creator and first-reporting priority have not yet been independently verified.
Attribution evidence and limitations
Full attribution review pending.
A source link alone does not establish original authorship.
Original image and video creators have not yet been verified.
- Published on this site
This update reflects the dated source reporting. Availability may have changed. Further coverage of this same development will be added to this page.
Original newsletter text and archive evidence
BigQuery adds update-based triggers for scheduled queries
Google has launched update-based triggers in BigQuery, flagged by Johan Strand and Luka Cempre. Scheduled queries can now run when a table changes, rather than only on a schedule, so aggregated tables update as soon as new data lands in the warehouse, not waiting for the next scheduled run. It removes a long-standing workaround that involved logging routers and cloud functions to respond to table changes.
For measurement and analytics engineers, event-driven query execution makes downstream tables fresher and pipelines simpler, a quality-of-life improvement many had wanted for years.
For you, this means BigQuery pipelines can react to new data immediately rather than on a fixed schedule. Worth switching latency-sensitive aggregations to update-based triggers so dashboards and downstream tables reflect new data sooner.
Source captured . No explicit first-contributor label was provided for this update.
