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Learn what DVC (Data Version Control) is, why it should be part of your MLOps tool kit, and how it works under the hood. Gain hands-on experience using it to version your data and models, build data pipelines, and use remote DVC storage. Expand DVC's capabilities with DDA, a new component of the DagsHub client and API libraries that enable users to stream DVC-versioned data from, and upload it to, any DagsHub project. In this session, you will learn the following: DVC 101 - what is DVC, and how does it work? DDA 101 - how to stream and version data. DVC 102 - core commands. Hands-on experience using DVC and DDA. Additional Materials: The Colab Notebook: https://colab.research.google.com/dri... Timestamps: 00:00 - Meet & greet 👋 01:50 - Why do we need DVC? 🙋 04:53 - Introduction to DVC 🤗 11:50 - How does DVC version files & directories? 🫀 17:19 - How does DVC build and version Data Pipelines? 🛀 24:37 - DagsHub integration with DVC ❤️ 26:47 - Introduction to DDA 🚿 29:26 - Hands-on experience 👩💻 If you want to hear more about what we are doing at DagsHub, here are some interesting links for you: 🌐 Our Website: https://dagshub.com 📖 Our Blog: https://dagshub.com/blog/ 🥰 We welcome you to join our community on Discord: / discord Social Links: 🔗 LinkedIn: / dagshub 🐥 Twitter: / therealdagshub DAGs out 🤙🏼