Chapter 4: Ingesting Data and Managing Datasets
In the previous chapter, we set up and explored the Azure Machine Learning workspace, performed data experimentation, and scheduled scripts to run on remote compute targets in Azure Machine Learning. In this chapter, we will learn how to connect datastores and create, explore, access, and track data in Azure Machine Learning.
First, we will take a look at how data is managed in Azure Machine Learning by understanding the concepts of datastores and datasets. We will see different types of datastores and learn best practices for organizing and storing data for machine learning (ML) in Azure.
Next, we will create an Azure Blob storage account and connect it as a datastore to Azure Machine Learning. ...
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