💡 Read more about managing large files with Git and DVC here. DVC provides a few commands you can run along with
gitto version large files, directories, or ML model using external storages like S3, SSH, Google Cloud, etc.
In the DVC Tracked View you can
see the files and directories that are managed by DVC (even if they are not yet
downloaded) in a view similar to the regular Explorer view
You can dvc pull to download your data or dvc push to save it right from
this view.
In the Source Control View the statuses shown are designed to integrate with that of the built-in Git extension and give an "at a glance" state of the entire workspace. The extension will show if DVC-tracked datasets are changed and you need to commit them.
From this view you can trigger data management commands like dvc checkout,
dvc commit, as well as dvc pull and dvc push.