dagshub-docs/docs/workshops/dvc_and_dda.md

DVC and DDA Crash Course

DVC{:rel="nofollow" target="_blank"} is an open source data versioning tool created specifically with data scientist and machine learning teams in mind. Essentially, DVC is to data as Git is to code.

DagsHub's integration with DVC, enables you to connect your remote DVC storage to DagsHub and view DVC-versioned files alongside your code files. We provide a built-in, zero-configurations DVC remote with every DagsHub repo.

Additionally, we launched DDA (Direct Data Access){:rel="nofollow" target="_blank"}, a component of the DagsHub client and API libraries that enable users to stream DVC-versioned data from, and upload it to, any DagsHub project. More importantly, DDA doesn't require making any changes to your project or dataset.

In this workshop, you will learn:

• What is DVC, and how does it work?
• Basic DVC commands
• How to stream & upload DVC versioned data using DDA

Materials

• Project
• Colab notebook{:rel="nofollow" target="_blank"}