Posts about data engineering practices, tools, and workflows
The modern data stack promised simplicity, but in practice it often feels like IKEA furniture. Here’s how to build one that actually works, layer by layer.
Everyone's obsessed with AI models. After building a 500-tool data directory, we learned the model is 10% of the work. The other 90% is data collection, validation, and quality — and that's the real moat.
Save 84% on your data stack with open-source alternatives. ClickHouse instead of Snowflake, Airbyte instead of Fivetran, Metabase instead of Looker — with real cost comparisons.