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jjyuu-6497 asked ramr-msft answered

How to connect Azure ML to Eventhub

Hi I'm new to Azure ML so I have little knowledge of it..
I've created a basic regression ML model using auto ml package inJjupyeter notebook
and now I have to deploy the model and send the output to the eventhub..

I'm wondering if anyone could help me with deploying the model and connecting it to the eventhub


azure-machine-learningazure-event-hubs
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@jjyuu-6497 Thanks for the question. Can you please add more details about the output data that you are sending to the EventHub and also usecase details.
Here is link to the Azure Machine Learning endpoints (preview) to streamline model deployments for both real-time and batch inference deployments.


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Thanks for your answer @ramr-msft!
The input data comes from a datastore(from adls gen2) and
my output is basically a dataframe with actual value and predicted value.. and I need to send this output to eventhub then connect eventhub to DBX and store it in a database in dbx and sql datawarehouse.
It will be a near real time processing with 30min interval so our goal is to visualize the output in Power BI every 30min.

I'm just wondering how we shd make our score script and configurations and how to set up the endpoint in our senario..

Thank you for your help

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1 Answer

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ramr-msft answered

@jjyuu-6497 Thanks for the details. We usually recommend to use Stream Analytics to Integrate Azure Stream Analytics with Azure Machine Learning (Preview). In addition to send data to SQL for the heatmap, Azure Stream Analytics can work with PBI streaming datasets. ASA is also a good choice for low latency (second or less) and complex queries.

Sample Repo: https://github.com/JackXueIndiana/Azure-Stream-Analysis-AML-WS-Call


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