BigQuery Day

Overview

BigQuery Day is a free, one day virtual event focused on running BigQuery at scale. Hosted by Eon with speakers from Google Cloud and industry practitioners, the event centers on making BigQuery spend predictable, performance reliable, and governance manageable in production environments. Attendees are typically teams responsible for cost control, reliability, data access, and AI initiatives that rely on BigQuery. The agenda covers FinOps guardrails, secure high performance data platforms, responsible AI usage in BigQuery, and rollback and recovery practices when things go awry.

What you’ll learn

The program highlights practical guidance on cost governance and optimization, performance predictability, and secure data architectures. Sessions explore FinOps strategies to reduce waste, ways to govern BigQuery without creating ticket queues, and how to deploy AI features safely inside BigQuery. Speakers discuss how to build secure, scalable data platforms that still emphasize speed and cost efficiency, with concrete techniques for query optimization, partitioning and clustering, and implementing fine-grained access controls.

Agenda

What’s on the agenda includes a keynote and a set of practical sessions focused on real world BigQuery usage at scale. Topics cover cost management and guardrails, secure and high performance architecture, AI integration within BigQuery, data rollback and recovery strategies, and production readiness for data platforms. Several sessions are designed to be hands-on and practitioner-focused, with real world examples and patterns you can apply in your own environment. There is also coverage on how to monitor FinOps, set up dashboards and alerts, manage budgets across projects, and maintain data reliability during rapid AI-driven workloads. A closing panel discusses cost, access, and what's coming next for BigQuery at scale.

Speakers

The lineup includes engineers and leaders from Google Cloud and industry practitioners. Notable participants include Tomas Talius, VP of Engineering for Google BigQuery; Ofir Ehrlich, Senior Data Engineer; Alicia Williams, Developer Advocate; Pedro Conde Fernández, Lead Data Engineer; Sayle Matthews, The BigQuery Dude; Constantin Lungu, Senior Data Engineer; Vishal Bulbule, Google Developer Expert; Oryan Omer, Senior Software Engineer; Liore Shai, Solutions Architect at Eon; Axel Thevenot, Google Developer Expert; and Matt Dixon, Director of Data Platform at Northwell Health. Sessions pair technical depth with practical business guidance, reflecting the needs of teams responsible for scale, governance, and cost control.

Format

The event is delivered as a virtual conference with live and pre-recorded sessions, Q&A segments, and access to session recordings post event. Registrants receive continuing access to the content and materials, and there are opportunities to engage with speakers and organizers during the day. The format emphasizes actionable takeaways and battle-tested patterns suitable for production environments.

FAQ

Common questions address who should attend (teams operating BigQuery at scale), whether sessions are live or recorded (a mix of live and pre-recorded to maintain pacing), access to recordings (included post-event), question opportunities during sessions (live Q&A), and how to become a speaker or suggest topics (contact the organizers). Attendees can register to save a spot, with recordings available for those who cannot attend in real time.

Who should attend

This event is built for operators who run BigQuery in production, including analytics engineers, data engineers, and leadership responsible for cost, governance, and scalability of analytics platforms.

FAQ highlights

Expect practical guidance on cost governance, performance, security, and rollback. The content is designed to be accessible to practitioners and leaders alike, with concrete steps and patterns to apply immediately in BigQuery environments.