Azure-docs: A link / information on how to create a script-based data flow

[DinoSourcesRex]

I'm currently struggling to find any references on how to go about creating a script-based data flow to load in data as a datasource.

I've got a CosmosDb (Mongo Api) resource that I need to extract information from so it would be nice if there was a link to how to create the "script-based data flow" mentioned above. Or if Cosmos Db was supported within the UI.

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Document Details

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• ID: 278569bd-60aa-386b-ce6d-f7c5670fb72e
• Version Independent ID: a01c1e8a-d402-a047-237f-6a53d5497b87
• Content: Connecting to Azure Cosmos DB as a Data Source in Azure Machine Learning Workbench
• Content Source: articles/machine-learning/desktop-workbench/data-prep-load-azure-cosmos-db.md
• Service: machine-learning
• GitHub Login: @cforbe
• Microsoft Alias: cforbe

[YutongTie-MSFT]

@DinoSourcesRex Thanks for the feedback! I have assigned the issue to the content author to investigate further and update the document as appropriate.

@cforbe Hi, this is a document suggestion, can you please check it and update the document as necessary? Thanks a lot!

[DinoSourcesRex]

@YutongTie-MSFT @cforbe Any update on this?

[j-martens]

Hi @DinoSourcesRex - while waiting for new documentation, perhaps you can post your support question here:

• Technical support: Visit Azure technical support and select Machine Learning.

• User forum: Ask questions, answer questions, and connect with other users in the Azure Machine Learning services support forum on MSDN.

[cforbe]

Hi @DinoSourcesRex sorry for the late response. Creating a script-based dataflow was done by choosing "Create a Transform Data Flow (Script) transform" and filling out the dialog box with your python code.

[YutongTie-MSFT]

@cforbe @j-martens Thanks for the response
@DinoSourcesRex We will now proceed to close this thread. If there are further questions regarding this matter, please reopen it and we will gladly continue the discussion.