Integrating pipelines with other Azure services
It's rare that users only use a single service to manage data flows, experimentation, training, deployment, and CI/CD in the cloud. Other services provide specific features that make them a better fit for a task, such as Azure Data Factory for loading data into Azure and Azure Pipelines for CI/CD for running automated tasks in Azure DevOps.
The strongest argument for choosing a cloud provider is the strong integration of its individual services. In this section, we will see how Azure Machine Learning pipelines integrate with other Azure services. The list for this section would be a lot longer if we were to cover every possible service for integration. As we learned in this chapter, you can trigger a published pipeline by calling a REST endpoint and submitting a pipeline using standard Python code. This means that you can integrate pipelines anywhere where you can call HTTP endpoints or run Python code.
We will first look into...