Summary

Let's break down what we've done

• We have seen how snowplow-cli can be used to work with data structures from the command line
• We have applied that knowledge to build github workflows which support automated validation and publication
• We have added source applications, data products and event specifications to use the same approach as data structures.

This approach provides you with:

• Version control for your data structures with full change history
• Automated validation to catch errors before they reach production
• Approval workflows through pull requests
• Environment promotion from development to production
• Integration with data products for comprehensive data governance

You now have a complete CI/CD pipeline for managing your Snowplow data structures using industry-standard tools and practices.