* Connecting to an Azure ML workspace * Creating an Azure ML execution environment * Defining and running an Azure ML pipeline * Using the parallel processing step (ParallelRunStep) * Pass data between pipeline steps using OutputFileDatasetConfig * Logging to Application Insights
konstantinmiller/azure-ml-parallel-processing-tutorial
Tutorial on how to parallelize experiments using Azure ML
Jupyter Notebook