Model

71 posts filed under Model.

AI writes a working pipeline in 10 minutes. Nobody has asked it to be on call for one.

Companies are writing one job ad for three different jobs and calling it an AI data engineer.

A company at 40 people needs senior data judgment about 2 days a week. Full-time is the wrong container.

A failure that cost one dashboard last year now takes out 40 downstream jobs. The platform grew. The alerts didn't.

Every AI roadmap I review gets the same first check: whether the data could go in a board deck unchecked.

BigQuery vs Snowflake for ad-hoc work comes down to one choice: pay per scan or pay per minute.

The DORA metrics are over a decade old, proven on software teams, and unused on most data teams I meet.

A client budgeted 2024 salaries for a 2026 data engineer role. The vacancy is now in month six.

An auditor asked who could read the customer table. With three engines on one Iceberg catalog, nobody could answer.

Every failed RAG project I've reviewed had the same upstream issue: nobody modeled the data underneath it.

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