This page teaches the key differences you must master when moving from Teradata to Snowflake. You will learn how to shift from Primary Index–driven design to micro-partition–aware access patterns, write predicates that enable pruning, and decide when CLUSTER BY delivers real benefit. We cover shaping joins to minimize data movement, spotting and mitigating skew, and right-sizing warehouses for performance and cost, including scale up versus multi-cluster. You’ll also learn pruning-friendly filtering, when to use materialized views or Search Optimization for selective lookups, and how to validate and maintain gains with query history, execution profiles, and a light reclustering cadence.
