How Data Teams Are Using Query Forecasting to Control Cloud Costs

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How Data Teams Are Using Query Forecasting to Control Cloud Costs

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Episode 75 of The Data Business Podcast dives into the rising practice of query cost forecasting — a technique data teams use to predict and control cloud spending before bills arrive. Lucas and Luna break down how a mid-market fintech company used a simple cost-per-query model to reduce unexpected overages by 40% in Q1 2026. They explore the difference between reactive cost monitoring and proactive forecasting, the role of active metadata in building accurate models, and why CFOs are starting to demand this from data leaders. The episode also touches on open-source tools like DuckDB and the shift toward pre-commit cloud contracts tied to forecasted usage. If your data team is tired of surprise cloud bills, this conversation offers a practical playbook. #QueryForecasting #CloudCostOptimization #DataEngineering #ActiveMetadata #DuckDB #DataInfrastructure #FinOps #CostPerQuery #SQL #CloudSpend #DataObservability #BusinessIntelligence #DataLeadership #CFO #FexingoBusiness #BusinessPodcast #DataProducts #DataMonetization Keep every episode free: buymeacoffee.com/fexingo

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