Storage for Azure ML Workspace

Sun Shine 296 Reputation points


When I create Azure ML Workspace, why I cannot use existing storage, why I have to create new one?

Any clarification will help me to educate.


Azure Machine Learning
Azure Machine Learning
An Azure machine learning service for building and deploying models.
2,559 questions
Azure Storage Accounts
Azure Storage Accounts
Globally unique resources that provide access to data management services and serve as the parent namespace for the services.
2,679 questions
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5 answers

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  1. Sun Shine 296 Reputation points

    Hello Manu:

    I came across MS Link and it make sense.

    When you create a workspace, an Azure Storage account is automatically created as an associated resource. A blob container is created in this account, and its connection information is stored as a datastore named 'workspaceblobstore'. This serves as the workspace's default datastore, and the blob container is used to store your workspace artifacts and machine learning job logs and outputs.

    So this is what I experienced as mention above.


    1 person found this answer helpful.
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  2. Sun Shine 296 Reputation points

    Hello Manu:

    Thanks for your reply, when i try to create new Azure ML Service, It didn't allowed me to select existing storage account - ADLS Gen2.

    So i endup creating new at the time of creating (AML01).

    I try to create another one (AML02) and it did allowed me to select storage account for the AML01 workspace but not the ADLS Gen2.


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  3. Manu Philip 16,966 Reputation points MVP

    Looks like an IAM assignment needed for the storage account.

    Check it after granting the service principal with Storage Blob Data Reader access.

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  4. Sun Shine 296 Reputation points

    Thanks for your reply, I will check & let you know.

    Thank you again.

  5. Sun Shine 296 Reputation points

    I was out and will test tomorrow.

    Thank you for follow-up.