Lakehouse
Snowflake Iceberg in 2026: open format, now without the storage chores
Three Iceberg GAs in one week advancing the old tradeoff: open format without babysitting a bucket.
Lakehouse
Posts related to my favorite lakehouse solutions: ❄️ Snowflake + 🦆 DuckDB and MotherDuck + 🐻❄️ Polars + 🧊 Iceberg
Lakehouse
MotherDuck Flights: pipelines an agent can fly, and why dlt belongs in the cockpit
MotherDuck shipped agent-native Python pipelines. The obvious thing to run inside one is dlt.
Lakehouse
How I Stopped ❄️ Cortex Agents from Auto-Picking the Expensive Model
How to configure Cortex Agent models for all agents at once
Lakehouse
Clippy: one Snowflake Cortex Agent, two faces
The paperclip is back. He works at Pro Juventute, lives in Snowflake, and shows up in both Teams and OpenCode.
Infrastructure
Triggering dltHub Pro pipelines from Snowflake
Moved a dlt pipeline off SPCS onto dltHub Pro. Still want Snowflake to push the button.
Infrastructure
dltHub Pro is here. So is my static-egress proxy VM.
How I kept IP‑locked Snowflake and Azure databases happy with a managed runtime that runs “wherever Python runs”
Lakehouse
Cortex Code skills, 90 days in: plugins, not prompts
Cortex Code stopped being “just another AI feature” the moment skills landed. In under three months they’ve become the missing glue: portable, versioned building blocks that turn NPO data stacks into repeatable agent workflows.
Lakehouse
Retiring legacy BI with an agentic-built Streamlit app on SPCS
Build-vs-buy got rewritten by agentic coding. So I retired the legacy BI tool. 😎
Lakehouse
Exporting Snowflake data to Excel
Generate XLSX files directly from Snowflake using a small Snowpark stored procedure, writing straight to a stage so stakeholders get ready-to-use Excel workbooks without any CSV exports or manual conversions
Lakehouse
Snowflake interactive warehouses: cheaper, always-warm, and yes, the SQL API works
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
Infrastructure
Two AI agents, one repo: delegating Snowflake work from Claude Code to Cortex Code
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.
Lakehouse
Snowflake Intelligence on Snowflake Cost: let the platform watch itself
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?”