Keebo

Every generation of engineers rediscovers the same basic fact: memory is fast, disks are slow, and the gap between them comes with a price. In Snowflake, that price has a name: spillage. The database literature has been quantifying exactly this trade for

Nearly every company now uses AI (whether generative or agentic) in at least one business function. That much, practically everyone knows. What's less obvious is the effect of this widespread AI adoption on data workloads. As AI tools use larger models, r

Adapted from my theater session, Messy Pipelines Are Expensive: A Hygiene Framework for Snowflake Pipeline Efficiency, at Snowflake Summit 2026. Why should you care about the efficiency of your data pipelines when everything looks like it is humming along

The days of applying FinOps solely to public clouds are over. Data cloud platforms use consumption-based pricing tied to activity, which makes costs variable and often unpredictable. Query runs, pipeline schedules, and the consumption of virtual currency

JSON is everywhere: API responses, event logs, clickstream data, and, it's persisted in your data in Snowflake. But while its flexible nature makes it perfect for capturing real-world data, it can quickly become complex to manage and query. Thankfully, Sn