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.
Strategy, engineering, privacy, modeling, visualization, analysis, ML, AI. Sprinkle some product ownership on top and you got a jack-of-all-trades decision-enabler 😎
Lakehouse
Three Iceberg GAs in one week advancing the old tradeoff: open format without babysitting a bucket.
Lakehouse
MotherDuck shipped agent-native Python pipelines. The obvious thing to run inside one is dlt.
Infrastructure
Bring your own model, ditch the subscription.
Lakehouse
How to configure Cortex Agent models for all agents at once
Infrastructure
Why let a search engine guess what context your model needs? Perplexity's new Search as Code hands the reins to the agent.
Lakehouse
The paperclip is back. He works at Pro Juventute, lives in Snowflake, and shows up in both Teams and OpenCode.
Infrastructure
Moved a dlt pipeline off SPCS onto dltHub Pro. Still want Snowflake to push the button.
Infrastructure
How I kept IP‑locked Snowflake and Azure databases happy with a managed runtime that runs “wherever Python runs”
Infrastructure
Three vendors, one week, one direction: the cloud-only assumption for AI agents is cracking.
Snowflake
A single boolean on AI_COMPLETE, a Llama Guard 3 wrapper, and a hardcoded filter string. Useful, cheap, and nowhere near enough on its own.
Lakehouse
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.
Infrastructure
Anthropic is scrambling for GPUs, AMD is finally shipping drop‑in AI cards, and Zyphra just proved you can train real models on a full AMD stack. All of that lands in your Snowflake account the moment you run create compute pool