Why data versioning is harder than code versioning in MLOps - See It in Action

Why Data Versioning is Harder Than Code Versioning

📖 Scenario: You are working as a machine learning engineer. You want to understand why managing different versions of data is more difficult than managing versions of code. This helps you plan better for your projects.

🎯 Goal: Build a simple Python program that shows a dataset and tracks changes to it step-by-step, illustrating why data versioning is harder than code versioning.

📋 What You'll Learn

Create a dictionary called dataset with exact entries for three data points

Create a variable called version to track the dataset version number

Update the dataset by changing one data point to simulate a new version

Print the dataset and version to show the current state

💡 Why This Matters

🌍 Real World

In real machine learning projects, datasets change often and can be very large. Tracking these changes carefully is important to reproduce results and debug models.

💼 Career

Understanding data versioning challenges helps you work better with data engineers and ML engineers, improving collaboration and project reliability.

1

Create the initial dataset

Create a dictionary called dataset with these exact entries: 'user1': 25, 'user2': 30, 'user3': 22

MLOps

# Create the initial dataset dictionary
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with keys and values.

2

Add a version number variable

Create a variable called version and set it to 1 to track the dataset version

MLOps

dataset = {'user1': 25, 'user2': 30, 'user3': 22}
# Create a version variable and set it to 1
# Your code here

Need a hint?

Just assign the number 1 to the variable version.

3

Update the dataset to simulate a new version

Change the value for 'user2' in dataset to 31 and increase version by 1

MLOps

dataset = {'user1': 25, 'user2': 30, 'user3': 22}
version = 1
# Update 'user2' age to 31 and increment version
# Your code here

Need a hint?

Use dataset['user2'] = 31 to update the value and version += 1 to increase the version.

4

Print the current dataset and version

Write two print statements: one to display dataset and one to display version

MLOps

dataset = {'user1': 25, 'user2': 30, 'user3': 22}
version = 1
dataset['user2'] = 31
version += 1
# Print dataset and version
# Your code here

Need a hint?

Use print(dataset) and print(version) to show the current data and version.