Whenever you're ready, walk me through how you'd approach this.
What strategies do you use for cost optimization and workload tuning when operating cloud data warehouses like Snowflake or BigQuery?
Describe a practical approach covering compute sizing, workload isolation, query optimization, storage layout, incremental processing, and usage monitoring. Compare relevant Snowflake and BigQuery techniques, and explain how you would validate savings without degrading pipeline SLAs or data freshness.