submit for review

Author: helenz-msft

articles/machine-learning/create-datastore-with-UI.md

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+---
+title: Linking Tables in OneLake to Azure ML Through UI
+titleSuffix: Azure Machine Learning, Microsoft Fabric
+description: Learn how to link table in Lakehouse to Azure ML studio through UI.
+services: machine-learning
+ms.service: azure-machine-learning
+ms.subservice: mldata
+ms.topic: how-to
+ms.author: helenzeng
+author: helenzusa1
+ms.reviewer: franksolomon
+ms.date: 02/10/2025
+ms.custom: data4ml
+# Customer intent: I have some Tables in OneLake, I want to use Azure ML studio for ML activities, so I need to link the Tables in AML, and I prefer to do it through UI.
+---
+
+# Introduction of the solution
+There were some existing solutions which can build a link in Azure ML to OneLake, get the data and create datastore in AML.
+However, in those solutions, the data in OneLake is of type ‘Files’. Please refer to reference section.
+Some customers have data in OneLake as type ‘Tables’. The existing solutions creating datastore in AML don’t work.
+
+:::image type="content" source="media/create-datastore-with-UI/1-table-in-fabric.png" alt-text="Screenshot that shows how the table looks like in Microsoft Fabric." lightbox="./media/create-datastore-with-UI/1-table-in-fabric.png":::
+
+Also some customers prefer doing in UI. Therefore, a new solution is needed to link AML to Tables in OneLake using UI.
+
+In this article, you will learn how to link tables in OneLake to Azure ML studio through UI.
+
+## Overall idea
+
+:::image type="content" source="media/create-datastore-with-UI/2-overall-idea.png" alt-text="Screenshot that shows overall idea." lightbox="./media/create-datastore-with-UI/2-overall-idea.png":::
+
+
+## Step 1. Create data lake storage account in Azure portal
+
+:::image type="content" source="media/create-datastore-with-UI/3-create-storage-account.png" alt-text="Screenshot that shows an example of data lake storage account in Azure portal." lightbox="./media/create-datastore-with-UI/3-create-storage-account.png":::
+
+## Step 2. Enable storage account key access
+
+:::image type="content" source="media/create-datastore-with-UI/4-enable-key-access.png" alt-text="Screenshot that shows how to enable key access of data lake storage account in Azure portal." lightbox="./media/create-datastore-with-UI/4-enable-key-access.png":::
+
+## Step 3. Assign roles to the storage account
+
+:::image type="content" source="media/create-datastore-with-UI/5-assign-roles.png" alt-text="Screenshot that shows how to assign roles of data lake storage account in Azure portal." lightbox="./media/create-datastore-with-UI/5-assign-roles.png":::
+
+## Step 4. Create a container
+
+:::image type="content" source="media/create-datastore-with-UI/6-create-container.png" alt-text="Screenshot that shows how to create a container of data lake storage account in Azure portal." lightbox="./media/create-datastore-with-UI/6-create-container.png":::
+
+## Step 5. In Fabric, create a pipeline
+
+:::image type="content" source="media/create-datastore-with-UI/7-create-pipeline.png" alt-text="Screenshot that shows how to create a data pipeline in Fabric." lightbox="./media/create-datastore-with-UI/7-create-pipeline.png":::
+
+## Step 6. Use pipeline, start 'Copy data assistant'
+
+:::image type="content" source="media/create-datastore-with-UI/8-copy-data-assistant.png" alt-text="Screenshot that shows how to start Copy data assistant in Fabric." lightbox="./media/create-datastore-with-UI/8-copy-data-assistant.png":::
+
+## Step 7. In 'Copy data assistant', select Azure Blobs
+
+:::image type="content" source="media/create-datastore-with-UI/9-select-azure-blob.png" alt-text="Screenshot that shows how to select Azure blobs in Copy data assistant in Fabric." lightbox="./media/create-datastore-with-UI/9-select-azure-blob.png":::
+
+## Step 8. Set storage account, create connection
+
+:::image type="content" source="media/create-datastore-with-UI/10-create-connection.png" alt-text="Screenshot that shows how to create connection in Fabric data pepiline." lightbox="./media/create-datastore-with-UI/10-create-connection.png":::
+
+## Step 9. Select destination folder
+
+:::image type="content" source="media/create-datastore-with-UI/11-select-destination-folder.png" alt-text="Screenshot that shows how to select destination folder." lightbox="./media/create-datastore-with-UI/11-select-destination-folder.png":::
+
+## Step 10. Connect to data destination
+
+:::image type="content" source="media/create-datastore-with-UI/12-connect-data-destination.png" alt-text="Screenshot that shows how to connect to data destination." lightbox="./media/create-datastore-with-UI/12-connect-data-destination.png":::
+
+## Step 11. Copy activity is scheduled
+
+:::image type="content" source="media/create-datastore-with-UI/13-copy-activity-scheduled.png" alt-text="Screenshot that shows the copy activity is scheduled." lightbox="./media/create-datastore-with-UI/13-copy-activity-scheduled.png":::
+
+## Step 12. Copy success
+
+:::image type="content" source="media/create-datastore-with-UI/14-copy-activity-success.png" alt-text="Screenshot that shows the copy is successful." lightbox="./media/create-datastore-with-UI/14-copy-activity-success.png":::
+
+## Step 13. Check storage account, container in Azure portal
+
+:::image type="content" source="media/create-datastore-with-UI/15-check-container.png" alt-text="Screenshot that shows how to verify the data in Azure storage account container." lightbox="./media/create-datastore-with-UI/15-check-container.png":::
+
+## Step 14. In ML studio create data asset, type 'File'
+
+:::image type="content" source="media/create-datastore-with-UI/16-create-data-asset.png" alt-text="Screenshot that shows how to create a data asset in Azure ML studio." lightbox="./media/create-datastore-with-UI/16-create-data-asset.png":::
+
+## Step 15. Select 'From Azure storage'
+
+:::image type="content" source="media/create-datastore-with-UI/17-select-azure-storage.png" alt-text="Screenshot that shows how to select Azure storage." lightbox="./media/create-datastore-with-UI/17-select-azure-storage.png":::
+
+## Step 16. It will bring you to create 'New datastore'
+
+:::image type="content" source="media/create-datastore-with-UI/18-new-datastore.png" alt-text="Screenshot that shows how to create new datastore in Azure ML." lightbox="./media/create-datastore-with-UI/18-new-datastore.png":::
+
+## Step 17. Or you can directly 'Create datastore' from the beginning
+
+:::image type="content" source="media/create-datastore-with-UI/19-create-datastore.png" alt-text="Screenshot that shows how to create a datastore in Azure ML." lightbox="./media/create-datastore-with-UI/19-create-datastore.png":::
+
+## Step 18. Datastore is created
+
+:::image type="content" source="media/create-datastore-with-UI/20-datastore-created.png" alt-text="Screenshot that shows the datastore looks like after creation." lightbox="./media/create-datastore-with-UI/20-datastore-created.png":::
+
+## Step 19. Access the datastore
+
+:::image type="content" source="media/create-datastore-with-UI/21-access-datastore.png" alt-text="Screenshot that shows how to access a datastore in Azure ML." lightbox="./media/create-datastore-with-UI/21-access-datastore.png":::
+
+## References
+
+- https://community.fabric.microsoft.com/t5/Data-Engineering/Read-from-a-specified-table-from-lakehouse-in-One-workspace/m-p/4234885  
+- https://fabric.guru/delta-lake-tables-for-optimal-direct-lake-performance-in-fabric-python-notebook 
+- https://learn.microsoft.com/en-us/azure/machine-learning/how-to-datastore?view=azureml-api-2&tabs=sdk-identity-based-access%2Csdk-adls-identity-access%2Csdk-azfiles-accountkey%2Csdk-adlsgen1-identity-access%2Csdk-onelake-identity-access#create-a-onelake-microsoft-fabric-datastore-preview 
+- https://learn.microsoft.com/en-us/fabric/data-engineering/spark-data-warehouse-connector
+- https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-abfs-driver   
+- https://github.com/azeltov/aml_one_lake 

articles/machine-learning/how-to-datastore.md

@@ -544,6 +544,8 @@ az ml datastore create --file my_onelakesp_datastore.yml
 ```
 ---
 
+## [Create a datastore for OneLake Table with UI](create-datastore-with-UI.md#create-datastore-with-UI)
+
 ## Next steps
 
 - [Access data in a job](how-to-read-write-data-v2.md#access-data-in-a-job)