Snowflake’s interactive warehouses sit in a sweet spot for user-facing workloads: they cost 60% of a same-sized standard warehouse, can stay warm across business hours, and still serve sub‑second lookups from an interactive table
Claude Code and Snowflake's Cortex Code turn out to be the same agent wearing different hats - and that's exactly what makes them worth combining. A filesystem handoff between two AI agents replaced hours of manual Snowsight clicking.
Snowflake’s ACCOUNT_USAGE is powerful but often too complex. I built a cost analyst with Snowflake Intelligence: 19+ views merged into 6 tables, 25 billing rules, enabling questions like “why did costs spike?”
Using dlt’s AI workbench and Claude Code, I reverse‑engineered our ERP's undocumented 1,200+ table schema and produced an annotated DBML model plus ontology.
A PII-safe alternative to Brave web search for Snowflake Cortex Agents, using Perplexity and AI_REDACT
Snowflake tasks are great... until one stops running and nobody notices.
Taking Snowflake Cortex Code for a spin
Own your data: A simple, almost-free first‑party tracking stack
Ad-hoc analytics using Claude Code, MotherDuck and mviz to create visualizations
In my last post I explored whether dlt could run in a Snowflake UDF... and failed. But can it still run inside Snowflake using a Container? TL/DR: yes, it does 😎
So, dlt by dltHub runs "where Python runs"... I guess that means it should run in a Snowflake UDF, too. TL/DR: no, it doesn't 😎 But hey: negative results are results, too, right? 😅
How to add a "Update Data" Button to a Tableau Dashboard