7 Databricks Mistakes That Can Cost You Millions In the kingdom of Databricks, it’s all too easy to make mistakes — and sometimes, those mistakes come with a hefty price tag. For context, our …

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Databricks costs can spiral quickly without proper management. Common expensive mistakes include running unnecessary or overly frequent jobs, oversizing compute clusters, misusing Photon optimization, forgetting to enable auto-stop on SQL warehouses, and neglecting query and storage optimizations. The article shares practical lessons from reducing Databricks costs by 50% in weeks, emphasizing that starting with minimal resources and scaling up as needed, along with regular monitoring and optimization, can prevent wasteful spending on compute and storage.