dbt.
dbt transforms data already in a warehouse using SQL models, adding version control, testing, documentation and dependency management to work that was previously scattered across scripts and views. It handles the transform step and nothing else.
Where dbt fits on a long engagement.
What dbt really introduces is software practice to analytics. Transformations become reviewable code with tests and a dependency graph, which means a change to a definition of revenue can be traced to everything it affects instead of discovered by a finance team in a meeting.
Its tests are the underused part. Asserting that a key is unique, that a join did not drop rows, that a value falls in an expected range — these catch the silent failures that make a dashboard confidently wrong, which is the failure mode that costs the most and is noticed the latest.
What an assigned team does with dbt.
A dbt project is a codebase and decays like one. Models accumulate, tests stop being added, and the lineage graph becomes something people look at rather than trust. Review discipline is what prevents that, and review discipline requires reviewers who will still be here.
The transformation layer is only as good as what feeds it, so ingestion and modelling are normally one assignment rather than two, held together under a dedicated software development team where the scope spans both.
What we use dbt for.
- One definition of a metric Revenue or active user defined once in a model, so two reports stop disagreeing.
- Catching silent data failures Tests on uniqueness, nulls and row counts that fail the build rather than the dashboard.
- Lineage people can read A documented graph from source to report, so the effect of a change can be assessed before it ships.
How dbt capacity is assigned.
Analytics engineering is assigned under data engineering outsourcing, working in your warehouse and your repository.
Tell us what your roadmap needs dbt for.
A service delivery manager replies with the disciplines we would assign, the monthly capacity and what the first month looks like.
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