dvc init in your workspace will start a DVC
project, including the internal
.dvc/ directory. From there on, you
will create and manage different DVC files and populate the cache
as you use DVC and work on your data science experiments.
.dvc files ("dot DVC files") are placeholders to track data files and
.dvcignore files (optional) contain a list of paths for DVC to ignore, which
can dramatically increase its operational performance.
These metafiles should be versioned with Git (in Git-enabled repositories).