A New Chapter for DVC: Passing the Torch to lakeFS

DVC and lakeFS have always shared a mission: to treat data with the same precision and reliability as code. DVC has empowered data scientists with seamless versioning and reproducibility, while lakeFS has brought Git-like workflows to massive datasets and enterprise pipelines. Now, under one roof, we’re bridging the gap from experimentation to production, from local model exploration to global AI infrastructure. In this webinar, Dmitry Petrov, Creator of DVC, and Oz Katz, Creator of lakeFS, discuss each open-source project's approach to data version control, how the transition came about, and what this means for DVC users going forward. Other resources that may be of interest: 🔹Dmitry’s Blog post: https://dvc.org/blog/a-shared-vision-for-the-future-of-dvc/ 🔹FAQ’s Blog post: https://dvc.org/blog/dvc-joins-lakefs-your-questions-answered/ 🔹Einat Orr’s Blog post: https://lakefs.io/blog/celebration-shared-vision-lakefs-dvc/ 📌 START LEARNING DVC • 📘 Docs: https://dvc.org/doc • 🎓 Free Online Course: https://learn.dvc.org • 💻 VS Code Extension: https://marketplace.visualstudio.com/items?itemName=Iterative.dvc • 📺 Subscribe to our channel: https://www.youtube.com/@dvcorg8370?sub_confirmation=1 💬 LET'S CONNECT • GitHub: https://github.com/treeverse/dvc • Discord Community: https://dvc.org/chat • Twitter/X: https://twitter.com/DVCorg