How does DVC enable data versioning for ML projects? Explain how it integrates with Git and supports reproducible pipelines.

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DVC, Data Version Control, extends Git to handle large files and datasets that are impractical to store in Git repositories directly. It enables data scientists to version data alongside code while keeping data in appropriate storage systems.