How do you control and optimize costs in cloud data warehouses?

Cost optimization focuses on scanning less data and using compute efficiently. Tactics: - Partition/clustering to reduce scanned bytes - Incremental models instead of full refresh - Set workload budgets/quotas - Schedule heavy jobs off-peak - Monitor top expensive queries and fix them Treat cost as a first-class metric alongside freshness and latency.