Smarter BigQuery Cost Optimization with Job-level Reservation Assignment
Rabbit Team
Master job-level granularity in BigQuery reservations to optimize costs at scale. Watch this recording to explore pricing models, query-level cost mechanics, and model selection criteria. The webinar also provides insights into Rabbit’s intelligent data-driven automated optimization for real workloads.
Watch this webinar to learn about:
Per-query cost examples:
- BigQuery pricing overview and examples of query costs under on-demand vs. reservation pricing.
Pricing model selection in practice:
- Decision factors for optimal pricing model use in production environments.
Calculating query costs:
- A practical solution for forecasting the costs of specific BigQuery queries with each pricing model.
Job-level reservation assignment:
- A step-by-step guide to assigning reservations per job, overriding project-level defaults to maximize savings.
Rabbit’s automated job-level reservation assignment:
- Implementing Rabbit in your workflow to provide automated job-level assignment recommendations based on historical data and tailored to your job configs to save up to 20% costs across the total workload.
The session provides live demonstrations of analyzing the cost of specific queries, implementation guidance on job-level reservation assignment, and quantified results we have been able to achieve with Rabbit’s intelligent automation for optimizing query costs.
