Summary

This chapter comprehensively explored the deployment, governance, and consumption of data product instances.

We delved into the creation of automated deployment pipelines for testing and releasing data product instances across various environments, from test to production. Pipeline automation is the foundation for CI/CD approaches, which are crucial for rapid problem identification and resolution before they become too intricate. By adopting such approaches, development and release activities can be made more efficient and replicable, as we learned in this chapter.

We also examined the governance of data product instances in production environments. Specifically, we focused on methods for collecting and automatically evaluating data product metadata using computational policies. We further explored how to monitor a data product instance through its observability ports, as well as how to perform administrative tasks on it via its control ports.

Finally, we delved into...