BigQuery Day 
A free, one-day BigQuery event for teams running BigQuery at scale
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Presented by Eon and Google Cloud
BigQuery Day is a free, one-day virtual event for the people running BigQuery inproduction: keeping spend undercontrol, performance predictable,access scalable, and the business confident in the numbers. You'll hear from Google and practitioners operating BigQuery at scale, 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.
Running BigQuery means fielding the same questions from leadership everyone else is: Why is the bill growing? Can we recover if something breaks? Are we ready for AI? Bring your team, bring your boss. You'll leave with better answers than you came in with.
What you’ll learn
How teams make BigQuery spend predictable with real FinOps guardrails, not just dashboards
How to build secure, high-performance data platforms on BigQuery without trading one for the other
How to use BigQuery AI safely (AI functions plus pretrained models like TimesFM) and keep results trustworthy
How to handle the "we need to roll this back" moment without building new ETL pipelines
Speakers
What’s on the agenda
Keynote Session
Session details to be announced.
Practical Gen AI and Predictive Workflows with BigQuery
Integrating AI into your data stack shouldn't require constant context-switching between notebooks and external APIs. This session is a technical walkthrough for data practitioners looking to leverage BigQuery AI directly where their data lives. We will focus on how to use the latest Generative AI functions to transform, enrich, and extract insights from your datasets using standard SQL.
Building Secure & High-Performance Data Platforms with BigQuery
Session details to be announced.
Stop the Bleed: FinOps Strategies to Control BigQuery Costs
BigQuery makes it easy to scale analytics, and just as easy to scale your bill. In this session, Pedro Conde shares a practical playbook to make BigQuery spend predictable: the cost drivers that matter, the query and storage patterns that quietly inflate spend, and the guardrails teams use to reduce cost without sacrificing performance. You’ll also see a FinOps monitoring approach (dashboards + alerts) that helps teams spot anomalies early and drive accountability across projects. You’ll leave with concrete steps you can apply immediately in your own BigQuery environment.
The Rollback Playbook for BigQuery
Modern organizations rely on BigQuery as a mission-critical analytics platform, but data loss, corruption, or accidental changes can still happen. While BigQuery provides strong built-in durability and short-term recovery, it is not a complete backup solution.
In this session, we’ll walk through a practical “rollback playbook” for BigQuery - covering native capabilities like Time Travel and snapshots, their limitations, and how to design a robust enterprise-grade backup and recovery strategy. We’ll also explore real-world disaster scenarios and how to recover quickly while minimizing data loss and downtime.
Closing Panel Session
Session details to be announced.
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. Live Q&A takes 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 and 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.
Yes. Share the registration link with teammates, managers, and anyone in your org who cares about BigQuery outcomes. The content works for both practitioners and the leaders asking them hard questions.
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 to learn more about Eon and Google Cloud?
Learn more about BigQuery and how teams run analytics at scale and Eon for backup, recovery, and operational readiness for cloud data platforms.