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A Fun Guide to Mastering Google BigQuery Cost Optimization

Dean Jain

Dean Jain

Senior Staff Software Engineer · Enterprise AI, Data & Cloud Architect

· 1 min read

BigQueryGCPCost OptimizationData Engineering

Separation of storage and compute, columnar tricks, and SQL patterns that keep BigQuery fast and your bill sane.

Diving deep into the magical world of Google BigQuery.

I pull back the curtain on how this data warehouse champ handles petabytes with surprising speed and more importantly, how you can unlock its full potential while keeping cloud bills in check.

Key takeaways:

  • Separation of Powers is Key BigQuery’s genius lies in independently scaling storage and compute.
  • The Secret Sauce of Speed columnar storage, in-memory execution, and the blazing-fast “shuffle tier.”
  • Your Control Knobs for Cost & Performance control bytes read, shuffled, processed, and written.
  • Secret Weapons partitioning, clustering, materialized views, BI Engine.
  • SQL Ninja Tips caching, anti-patterns to avoid, and writing queries that sing.

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