How Data Teams Are Using dbt for Cost Optimization

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How Data Teams Are Using dbt for Cost Optimization

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Episode 87 of The Data Business Podcast explores how data teams are leveraging dbt not just for transformation but for cost optimization. Lucas kicks off with a specific example: a mid-market fintech company that reduced its Snowflake compute bill by 18% within two quarters by implementing dbt models designed to monitor and flag inefficient queries. Luna digs into the tactical details — how the team set up cost-per-model tracking using dbt's metadata and Snowflake's query history. They discuss the challenges of attribution when queries span multiple models, the role of materialization strategy in cost control, and why some teams are building custom dbt packages to surface cost metrics in their BI dashboards. Lucas and Luna also explore the tension between developer autonomy and cost governance, and how dbt's lineage features help teams understand the cost impact of upstream changes. The episode gives listeners a concrete framework for tying dbt models to cloud cost observability, with practical advice on where to start — even for teams already deep into their dbt implementation. #dbt #CostOptimization #Snowflake #DataTeams #CloudCosts #DataEngineering #FinOps #DataInfrastructure #Analytics #SQL #DataTransformation #Metadata #CostGovernance #Materialization #Lineage #BusinessAndTechnology #FexingoBusiness #BusinessPodcast Keep every episode free: buymeacoffee.com/fexingo

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