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GenAI-Ready Warehousing

  • Martin Hander

摘要

Generative AI doesn’t replace the warehouse; it leans on it. The best answers come from models that see fresh, permissioned, and well-shaped data. In practice, that means two things inside Snowflake: a feature layer that feeds models with point-in-time correct signals and an embedding layer that lets you retrieve context (documents, events, product specs) by meaning rather than exact keywords. Both live comfortably next to facts and dims, use the same governance, and ship through the same CI/CD you already run.