Master Data Versioning with DVC in MLOps 🚀

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 Sharma8.6K views17:13

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

Tags and Topics

This video is tagged with the following topics. Click any tag to explore more related content and discover similar videos:

Tags help categorize content and make it easier to find related videos. Browse our collection to discover more content in these categories.

4.6

1 user review

Write a Review

0/1000 characters

User Reviews

0 reviews

Be the first to comment...

Video Information

Views
8.6K

Total views since publication

Likes
206

User likes and reactions

Duration
17:13

Video length

Published
Aug 28, 2022

Release date

Quality
hd

Video definition

Related Trending Topics

LIVE TRENDS

This video may be related to current global trending topics. Click any trend to explore more videos about what's hot right now!

THIS VIDEO IS TRENDING!

This video is currently trending in Malaysia under the topic 'bwf japan masters 2025'.

Share This Video

SOCIAL SHARE

Share this video with your friends and followers across all major social platforms including X (Twitter), Facebook, Youtube, Pinterest, VKontakte, and Odnoklassniki. Help spread the word about great content!