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At Cirrus, we dive into your actual BigQuery usage and apply proven, concrete principles to reduce costs. Our methodology is built on years of experience optimizing large-scale GCP environments.

We group our approach into 3 core key principles:

⚖️ Use only what you need

Cut waste by eliminating unused resources and right-sizing compute

• Optimize for efficiency: refining how data is stored and accessed within BigQuery to ensure queries run faster and process less data.
• Less is more: Identify and remove unused or rarely accessed resources, moving data to more cost-effective storage tiers.
• Allocate just enough: Allocate & share the appropriate computing power for the right needs at the right time.

🧱 Work Smarter, Not Harder

Avoid redundancy, leverage efficient workflows, and offload where it makes sense.

• Build on yesterday’s work: Avoid recomputing the same things. Focus on incremental changes and cache intelligently.
• Right tool, right task: Sometimes, BigQuery isn’t the best choice. Use more efficient tools when BigQuery isn't the best fit for the job.

📖 Follow the fundamentals

Use BigQuery’s built-in cost controls and fix misconfigurations before they get expensive.

• Play by the Rules: Leverage built-in BigQuery and Google Cloud features to manage costs efficiently.
• Patch Leaks: Continuously detect, diagnose, and fix cost spikes caused by misconfigurations or bugs.

The Cirrus Playbook for BigQuery