Goto

Collaborating Authors

 learning workspace


💪Creating an Azure Machine Learning Workspace and Datastores using Bicep

#artificialintelligence

This article will use Azure Bicep, the new DSL language for deploying Azure resources declaratively, to provide an Azure Machine Learning Workspace with multiple datastores. First, let's take a look at two basic concepts. Think of a datastore as the mapping for the actual storage resource to the Azure Machine Learning Workspace. A Datastore provides an interface for your Azure Machine Learning storage accounts. A Dataset is an asset in your Machine Learning Workspace that will help you connect to the data and your storage service and make the data available for your machine learning experiments.