Master Data Versioning with DVC in MLOps π
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.

Jayesh Sharma
8.6K views β’ Aug 28, 2022

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 β What we'll cover in this video
0:34 β Data Versioning Component
1:16 β Brainstorming session
3:35 β Essential DVC commands
6:33 β The DVC Cache
8:00 β Moving between commits
11:20 β The DVC Remote
13:17 β Model Deployer
14:30 β A visual summary
15:54 β Monitoring Component
16:25 β Build your own project!
Resources π:
1. DVC Example on GitHub (https://github.com/wjayesh/dvc-example)
2. DVC Documentation (https://dvc.org/doc)
π Connect with me: https://bio.link/wjayesh
0:00 β What we'll cover in this video
0:34 β Data Versioning Component
1:16 β Brainstorming session
3:35 β Essential DVC commands
6:33 β The DVC Cache
8:00 β Moving between commits
11:20 β The DVC Remote
13:17 β Model Deployer
14:30 β A visual summary
15:54 β Monitoring Component
16:25 β Build your own project!
Resources π:
1. DVC Example on GitHub (https://github.com/wjayesh/dvc-example)
2. DVC Documentation (https://dvc.org/doc)
π 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
User Reviews
4.6
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