DVC (Data Version Control) basics in MLOps - Mini Project: Build & Apply

DVC (Data Version Control) Basics

📖 Scenario: You are working on a machine learning project where you need to manage your data files efficiently. You want to keep track of changes to your data files without storing large files directly in Git. DVC (Data Version Control) helps you do this by linking your data files to Git commits.

🎯 Goal: Learn how to initialize a DVC project, add a data file to DVC tracking, configure DVC remote storage, and check the status of your data files using DVC commands.

📋 What You'll Learn

Initialize a DVC project in an existing Git repository

Add a data file named data.csv to DVC tracking

Configure a DVC remote storage named myremote with a local path /tmp/dvcstore

Check the DVC status of tracked files

💡 Why This Matters

🌍 Real World

DVC helps data scientists and ML engineers manage large data files and models efficiently without bloating Git repositories.

💼 Career

Knowing DVC is valuable for roles in machine learning operations (MLOps), data engineering, and collaborative data science projects.

1

Initialize DVC in your Git project

Run the command dvc init in your project folder to initialize DVC tracking.

MLOps

# Run the command to initialize DVC
# Your code here

Need a hint?

Use the dvc init command to start DVC in your current Git project folder.

2

Add the data file data.csv to DVC tracking

Run the command dvc add data.csv to track the file data.csv with DVC.

MLOps

dvc init
# Add the file data.csv to DVC tracking
# Your code here

Need a hint?

Use dvc add data.csv to tell DVC to track changes to this data file.

3

Configure a DVC remote storage named myremote

Run the command dvc remote add -d myremote /tmp/dvcstore to add a default remote storage location at /tmp/dvcstore.

MLOps

dvc init
dvc add data.csv
# Add a DVC remote named myremote with path /tmp/dvcstore
# Your code here

Need a hint?

Use dvc remote add -d myremote /tmp/dvcstore to set up remote storage for your data files.

4

Check the DVC status of your tracked files

Run the command dvc status to see if your data files are up to date with the DVC cache and remote storage.

MLOps

dvc init
dvc add data.csv
dvc remote add -d myremote /tmp/dvcstore
# Check the status of DVC tracked files
# Your code here

Need a hint?

Use dvc status to verify the current state of your data files in DVC.