In this chapter, we have gotten practical and looked at what is involved in starting the augmentation of input or output components of your model, and what tools we can use to do that in a maintainable and traceable way. At a high level, we learned about what a data pipeline is and why it is important, how to build/deploy/maintain pipelines in Pachyderm, and what tools to use to visualize our repositories and pipelines.

In the next chapter, we will look at a number of the technologies that sit underneath Pachyderm, including Docker and Kubernetes, and how we can use these tools to deploy stacks to the cloud infrastructure.