How does DVC work?

medium

Answer

$Data Version Control: git-like for large files.$
$Stores metadata (.dvc files) in git; actual data in remote storage (S3, GCS, Azure). dvc add data.csv \to creates data.csv.dvc with hash + points to remote. git commit metadata + dvc push data.$
$Others: git pull + dvc pull restores exact snapshot.$
$Pipeline definition in dvc.yaml with stages + deps + outputs \to dvc repro runs only changed stages.$
$Similar tools: LakeFS (branch-based), Delta Lake.$

Check yourself — multiple choice

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Git-like for large files: metadata (.dvc) in git, actual data in remote (S3/GCS); dvc add + git commit + dvc push; pipeline dvc.yaml stages + reproduce only changed; alt LakeFS/Delta
Same as git
Not real

DVC: metadata in git + data in remote; pipeline reproduces changed stages.

#reproducibility

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