dvc-to-lakefs brings your DVC-tracked data into lakeFS with a zero-copy import — no re-uploading, no second copy. Get branches, commits, and merges at data-lake scale.
How Bast AI uses DVC as a data registry for unstructured AI pipelines—versioning PDFs, page images, ontologies, and retrieval context to build an explainable, offline-ready medical assistant with full provenance and auditability.
Rob De Wit shares his Pokémon Generator project to demonstrate how you can move from a Jupyter Notebook prototype to a production-ready pipeline with DVC.
This tutorial introduces you to integrating DVC (Data Version Control) with Ray, turning them into your go-to toolkit for creating automated, scalable, and distributed ML pipelines.
Mikhail Rozhkov
March 12, 2024
20 minutes read
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