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ML and Advanced Analytics Workloads

  • Martin Hander

摘要

Snowflake can be your entire ML data plane: you build features where the facts live, keep point-in-time guarantees with Time Travel and SCDs, and publish training/serving views that stay consistent across experiments and production. You don’t have to move rows to engineer features—windowed SQL, semi-structured projection, and Snowpark cover nearly everything. When you do need custom math, a small UDF or Snowpark routine runs in-database, so the data never leaves.