Building a Modern Data Foundation with dbt: A Practical Guide
I’ve helped dozens of companies build data foundations. The ones that fail almost never fail because they picked the wrong tool. They fail because nobody agreed on what the foundation was supposed to do. This guide covers the decisions that actually matter: how to pick a warehouse, why dbt wins as the transformation layer, which architecture patterns work for mid-size teams, and how to migrate off legacy ETL without losing your mind. If you’re a data leader at a SaaS company between $5M and $100M in ARR, this is written for you.
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