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How to execute Azure Machine Learning service pipelines in Azure Data Factory

Play How to execute Azure Machine Learning service pipelines in Azure Data Factory
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Gaurav Malhotra joins Scott Hanselman to show how you can run your Azure Machine Learning (AML) service pipelines as a step in your Azure Data Factory (ADF) pipelines. This enables you to run your machine learning models with data from multiple sources (85+ data connectors supported in ADF). This seamless integration enables batch prediction scenarios such as identifying possible loan defaults, determining sentiment, and analyzing customer behavior patterns.

[0:02:18] Demo



The Discussion

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    1. I have Azure SQL server with "allow access to azure services" = OFF. Now i want ADF to connect to Azure SQLDB. Is it possible. Please explain the procedure for ADF to connect to the Azure SQL server.

    2. Similarly if azure storage account is also configure to VNET environment. Does the ADF will be able to connect to Storage account.

    3. Suppose WebApp/API App/Function App (Https trigger) is configured with ASE plan in subnet. In this context does ADF (Web or Function app activity) able to call these fucntions/WebApps.

    Please provide your suggestions and comments on above points. Please share reference links.

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