Using DVC to Store Data Science Artifacts in Azure

In this video, we introduce DVC, a tool for version control management of data science and machine learning artifacts. We learn why Git isn't the best place to store those large data files, how DVC integrates with Git, and how you can save your files in Azure Blob Storage. LINKS AND INFO Catallaxy Services -- https://www.catallaxyservices.com GitHub Repo -- https://github.com/feaselkl/Practical-MLOps-with-GitHub-and-Azure-ML git-filter-branch (the command you shouldn't use) -- https://git-scm.com/docs/git-filter-branch git-filter-repo (a quite useful tool) -- https://github.com/newren/git-filter-repo/ GitHub file size limits -- https://docs.github.com/en/repositories/working-with-files/managing-large-files/about-large-files-on-github git-lfs -- https://git-lfs.com/ git-lfs GitHub repo -- https://github.com/git-lfs/git-lfs git-lfs implementations -- https://github.com/git-lfs/git-lfs/wiki/Implementations Chocolatey -- https://chocolatey.org/ DVC documentation -- https://dvc.org/doc DVC in Visual Studio Code -- https://marketplace.visualstudio.com/items?itemName=Iterative.dvc