dbt Is Leaving the Warehouse. Are Your Pipelines Ready?
dbt built the modern analytics workflow. Now the transformation layer is moving upstream — and the gap between SQL models and runtime execution is b…
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dbt built the modern analytics workflow. Now the transformation layer is moving upstream — and the gap between SQL models and runtime execution is b…
In this article I'll show you how a dbt incremental model that looked perfectly reasonable wiped out three months of finance data, why none of our c…
I built a small warehouse, fed it a batch of orders with twelve defects planted in it, and watched the load succeed. Every row landed. Summed as loa…
I was building a tool that detects when data quietly changes meaning — a vendor switching units, a source dropping a field, an undocumented enum app…
I once inherited a dbt project where the same "active customer" filter existed in four different models, each written slightly differently. Two of t…
A few days ago I posted about zhao-cli , a breaking-change gate for dbt (link at the bottom if you missed it). This is the second tool in the same f…
I've spent more than a decade building data pipelines, and the part nobody warns you about isn't the pipeline logic. It's the tuning. Executor memor…
Building an OpenSky Flight Data Pipeline with dbt Core Recently, I built an OpenSky Flight Data Pipeline that ingests aircraft state vectors into Po…
Hello everyone! Following up on my previous post , Day 1 of my Modern Data Stack migration was an absolute rollercoaster of refactoring and deep dat…
В аналитике больших данных есть старая проблема: код ETL-витрин живет своей жизнью, а документация — своей. Изменяешь логику, забываешь обновить опи…
В аналитике больших данных есть старая проблема: код ETL-витрин живет своей жизнью, а документация — своей. Изменяешь логику, забываешь обновить опи…