Summary
In this chapter, you have seen how Red Hat ODS integrates with third-party software to further simplify your MLOps journey. OpenShift makes it a breeze to use the data versioning capabilities of the Pachyderm software.
You have seen how Red Hat OpenShift Pipelines enables your data science team to automate the model training workflow by providing drag-and-drop capabilities and using the same code you have used to manually train the model.
You will use the core pipeline capabilities in the next few chapters, where you'll further automate your workflow. In the next chapter, you will use what you have learned about creating pipelines to deploy the model as a service.
