Today’s post is a geeky deep dive into how to leverage DVC (not just) data version control to track QGIS geoprocessing workflows. “Why is this great?” you may ask. DVC tracks data…
Turned a simple QGIS Processing model into a #DVC data-versioned #geoprocessing workflow
"Why is this great?" you may ask ❓
DVC tracks data, parameters, and code. If anything changes, we simply rerun the process and DVC will figure out which stages need to be recomputed and which can be skipped by re-using cached results.
This can lead to huge time savings compared to re-running the whole model 👩💻🥳
#DataScience proof of concept blog post is finally ready: 
