How can I integrate a model created using AutoML into my custom pipeline in Azure Machine Learning Designer, such that it processes a new dataset and saves the output to SQL Data Warehouse?

Anil Nagar 0

How can I integrate a time-series model created using AutoML into my custom pipeline in Azure Machine Learning Designer, ensuring continuous integration and continuous deployment (CI/CD), where the pipeline processes new time-series datasets and saves the output to SQL Data Warehouse?

YutongTie-MSFT 53,131 Reputation points

2024-06-19T20:51:47.1333333+00:00
Hello Anil,

Thanks for reaching out to us. There are some steps you can refer to to achieve your goal -

Time-Series Data Handling:

Ensure your pipeline can handle time-series data inputs.

Use appropriate modules in Azure ML Designer for time-series data preprocessing (e.g., lag features, rolling statistics).

Model Training and Integration:

Train your time-series model using AutoML or other techniques suitable for time-series data.

Register the time-series model in your Azure ML workspace.

Pipeline Design:

Design your pipeline in Azure ML Designer to include components for time-series data preprocessing and model scoring.

Integrate the AutoML model as described in Scenario 1, ensuring it's suitable for time-series predictions.

Output to SQL Data Warehouse:

Configure the pipeline to save time-series predictions to SQL Data Warehouse, considering the temporal nature of the data.

CI/CD and Deployment:

Set up CI/CD for your pipeline to handle continuous updates.

Use Azure DevOps or Azure ML Pipelines for versioning, testing, and deploying your pipeline updates.

Schedule the pipeline to run at regular intervals or trigger it based on new time-series data arrivals.

Monitoring and Maintenance:

Implement monitoring for model performance degradation over time.

Update your pipeline as needed based on performance metrics or changes in data characteristics.

For more details, there are some documents for your reference -

Handling Time-Series Data:

Time series forecasting in Azure Machine Learning: Time series forecasting in Azure Machine Learning

Using time-series data in Azure Machine Learning: Using time series data in Azure Machine Learning

CI/CD for Azure Machine Learning:

Continuous integration and continuous deployment (CI/CD) in Azure Machine Learning: CI/CD in Azure Machine Learning

I hope this helps!
Anil Nagar 0 Reputation points

2024-06-20T07:50:17.8066667+00:00

This is not fullfilling my query, i need it in step by step details.

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How can I integrate a model created using AutoML into my custom pipeline in Azure Machine Learning Designer, such that it processes a new dataset and saves the output to SQL Data Warehouse?

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