Refactor dbt models without changing consumer output
When one model is hundreds of lines long and nobody dares touch it.
- Transformation
Larger outcome
5 RecipesThe project you already have, running faster and reading better, without the output moving. Incremental behaviour, bounded backfills, and the safety proof that lets you land any of it.
When one model is hundreds of lines long and nobody dares touch it.
A dbt model is correct but a full refresh is too slow or too expensive to run routinely.
When a definition changed and months of history need recomputing, but a full refresh would take all weekend.
When a fact table is too big to rebuild from scratch and has to be incremental from the first version.
When a pull request changes dbt models and nobody wants to merge it on faith.