In today’s data-driven world, optimizing both performance and cost-efficiency is a top priority for organizations working in the cloud. For my team, managing data processing and analysis efficiently in Snowflake has always been critical, especially when handling large data sets. Previously, we relied heavily on large warehouses to run procedures and complex queries, given the scale of our data. However, this came with a steep cost. Fortunately, with the advent of Snowflake's Query...