datastore Module

Contains functionality for managing Datastores in Azure Machine Learning.

Classes

Datastore

Represents a storage abstraction over an Azure Machine Learning storage account. Datastores are attached to workspaces and are used to store connection information to Azure storage services so you can refer to them by name and don't need to remember the connection information and secret used to connect to the storage services. Examples of supported Azure storage services that can be registered as datastores are: Azure Blob Container Azure File Share Azure Data Lake Azure Data Lake Gen2 Azure SQL Database Azure Database for PostgreSQL Databricks File System Azure Database for MySQL Use this class to perform management operations, including register, list, get, and remove datastores. Datastores for each service are created with the register* methods of this class. When using a datastore to access data, you must have permission to access that data, which depends on the credentials registered with the datastore. For more information on datastores and how they can be used in machine learning see the following articles: Access data in Azure storage services Train models with Azure Machine Learning using estimator Create and run machine learning pipelines Get a datastore by name. This call will make a request to the datastore service.