Enterprises routinely overspend 40-60% on Snowflake, BigQuery, and Databricks due to over-provisioned warehouses and manual tuning. Yuki founder Ido Arieli Noga breaks down the root causes behind runaway cloud data costs and shares a practical framework for autonomous, query-level optimization that cuts spend without code changes or performance trade-offs.
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