Video 1 Tableau 2025.1 Features | Release Overview | See Timestamps
Tableau 2025.1 is here, and a lot of it is already live as a rolling release, so let's go through every feature and the ones I'm still cautious about.
dbt is the transformation framework of the modern data stack: SQL models, tests and documentation, version-controlled in Git and run where the data lives. The backbone of how serious teams ship trusted data.
Version-controlled, tested SQL transformations that bring software engineering discipline to the modelling layer inside your warehouse.
One framework, several front doors. Here is the map, and which pieces matter first.
The open-source framework: models, tests, docs and Jinja, version-controlled and run from the command line.
My posts →The managed platform: browser IDE, scheduler, environments and CI, without running any of it yourself.
My posts →The new Rust-based engine: faster parsing, live SQL comprehension and cheaper runs.
My posts →Metrics defined once in dbt and served consistently to every BI tool downstream.
My posts →Lineage, docs and discovery across the whole project. The map of what feeds what.
My posts →AI assistance inside the platform: draft models, tests and documentation from plain language.
My posts →New to dbt, or new to my dbt content? Start with the three the community watched most.
Video 1 Tableau 2025.1 is here, and a lot of it is already live as a rolling release, so let's go through every feature and the ones I'm still cautious about.
Video 2 Devs on Stage finally delivered the execution after last year's vision, but with no release dates I reckon half of these features might never ship.
Video 3 Ana built a free, on-device tool that maps your Tableau calculations into a lineage diagram — no cloud, no fuss, just XML and Mermaid.
Useful even before I have made a thing: the latest from dbt itself. Every link in this section leaves just-tim and opens at the official source.


dbt Learn is free and excellent, and the community Slack is where the real answers live.