BigQuery Day 
A free, one-day BigQuery event for teams running BigQuery at scale
Save your spot
BigQuery Day is a free, one-day virtual event for the people running BigQuery in the real world: keeping spend under control, performance predictable, access scalable, and the business confident in the numbers. You’ll hear from Google and practitioners operating BigQuery in production, sharing the playbooks that matter once BigQuery becomes business-critical, including FinOps strategies to “stop the bleed,” governance without ticket queues, BigQuery AI in practice, and the rollback playbook for data resilience.
What you’ll learn
How teams make BigQuery spend predictable with real FinOps guardrails (not just dashboards)
How to scale governance and access without turning every request into a ticket
How to use BigQuery AI safely (AI functions + pretrained models like TimesFM) and keep results trustworthy
How to handle the “we need to roll this back” without building new ETL pipelines
Speakers
Speakers to be announced soon
Agenda
Agenda to be announced soon
FAQs
BigQuery Day is built for people who run BigQuery in production and are responsible for cost, performance, governance, reliability, and data trust.
A mix. Some sessions will be live, and some may be pre-recorded to keep pacing tight. A live Q&A will take place at the end of each session.
Yes. All registrants will receive access to session recordings after the event.
Yes. You’ll be able to submit questions during sessions and panels, and we’ll run live Q&A segments.
Expect practical sessions on cost governance and optimization, performance predictability, governance without ticket queues, AI readiness and reproducibility, and rollback/recovery when things go wrong.
No, but the content is aimed at teams operating BigQuery at scale. If you manage BigQuery outcomes for your org, you’ll get the most value.
Absolutely. Feel free to share the registration link with teammates.
Reply to the registration confirmation email (or message the organizer) with a short note about the topic and your role. We’re prioritizing operator perspectives from teams running BigQuery in production.
Want more context before the event?
Learn more about BigQuery and how teams run analytics at scale and Eon for backup, recovery, and operational readiness for cloud data platforms.
