To run the example pipeline, simply go back to repo root directory and:
mv example_pipeline/dvc.yaml .
# activate your environment however you like
dvc init
dvc repro
You can see the pipeline run write it's data and metrics.
To see a nice diagram of the pipeline, run dvc dag
.
Try modifying some stages and re-running the pipeline to get a sense of how dvc can help speed up your workflows. And once you've gotten some data on your disk, setup a dvc remote cache to easily share intermediate data with your team.