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Automating BigQuery Cost & Performance at Scale

About this event

Cut growing costs as BigQuery usage explodes. Join us in this practical session to gain a deeper understanding of BigQuery cost drivers and how to eliminate manual bottlenecks in optimizing costs without jeopardizing performance.

Join Rabbit’s webinar to learn about:

  • Dynamically tuning pricing models and reservations on the job level
  • Cutting the waste inherent in Autoscaler with automated slot management
  • Using AI-backed optimization PRs to proactively optimize queries before they spike costs

The webinar will ease the challenges of navigating BigQuery’s pricing model and understanding the opportunities to enhance the Autoscaler. We’ll dive deeper into cost cutting best practices via pipeline rescheduling, optimizing tables and datasets, and recommendations for efficient queries. The webinar will also provide a practical walkthrough of automating BigQuery cost optimization based on real-time demand signals, and LLM-driven code optimization for SQL queries.

Hosted by

  • Team member
    T
    Stewart Bryson VP of Customer Success and Engineering @ Rabbit

    Stewart is the Vice President of Customer Success and Engineering at Rabbit and former Vice President of Data Modernization at Onix. He has managed some of the largest data and analytics migrations to the Google Cloud.

Rabbit

Your copilot for BigQuery, GKE, Dataflow, Cloud Storage

Max performance. Cost-optimized. Automatically.
Rabbit automatically cuts cloud waste, boosts performance, and delivers cost-focused code reviews with automated optimization PRs - letting your team build without manual tuning.