Master Data Versioning with DVC in MLOps πŸš€

Discover what DVC is and learn how to implement data versioning in your MLOps projects. Boost your machine learning workflows with this essential open-source tool.

Master Data Versioning with DVC in MLOps πŸš€
Jayesh Sharma
8.6K views β€’ Aug 28, 2022
Master Data Versioning with DVC in MLOps πŸš€

About this video

What is DVC and how do you use it in a project? Data Versioning is an important part of the MLOps workflow and DVC is one of the most popular open source solutions you can use for it. We go hands-on with the tech to see it in action and understand intuitively the mechanism behind tracking large data files.

0:00 βœ… What we'll cover in this video
0:34 βœ… Data Versioning Component
1:16 βœ… Brainstorming session
3:35 βœ… Essential DVC commands
6:33 βœ… The DVC Cache
8:00 βœ… Moving between commits
11:20 βœ… The DVC Remote
13:17 βœ… Model Deployer
14:30 βœ… A visual summary
15:54 βœ… Monitoring Component
16:25 βœ… Build your own project!

Resources πŸ“:
1. DVC Example on GitHub (https://github.com/wjayesh/dvc-example)
2. DVC Documentation (https://dvc.org/doc)

πŸ‘‹ Connect with me: https://bio.link/wjayesh

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Video Information

Views

8.6K

Likes

206

Duration

17:13

Published

Aug 28, 2022

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