How to read data from storage account into Azure ML RRS feed

  • Question

  • Hi Team,

    I have got image files in one of the containers within storage account in Azure and now i want to access these files in Azure ML for building my models. So far, based on my research Datastore and Datasets functionality are supposed to help me but haven't been lucky getting that solution.

    Can you please assist on this? how can i read data and process it.


    Tuesday, May 12, 2020 8:17 AM

All replies

  • Hi,

    Thanks for reaching out. With the new Azure ML (Preview), you can you can register your data or use the import data module to import data from online data sources. Datastore represents a storage abstraction over an Azure Machine Learning storage account. They 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. Dataset is a reference to data in a Datastore or behind public web urls. They are supported in two formats (Tabular and File).
    After creating your datastore, you then create/register your dataset (accessible both locally and remotely on compute clusters like the Azure Machine Learning compute. Note: you can also create an unregistered dataset and use as direct input in experiments. However, if you want to reuse the dataset in other experiments, you need to register the dataset. Please check out Use datasets directly in training scripts and Mount files to remote compute targets for more details. The following Notebook Examples demonstrate and expand further on these concepts. Hope these resources are helpful to you. Thanks.



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    Tuesday, May 12, 2020 5:52 PM