You have an Azure SQL database an Azure Data Lake Storage Gen 2 account, and an APi developed by using Azure Machine Learning Studio.
You need to ingest data once daily from the database. score each row by using me API, and write the data to the storage account
Solution: You create an Azure Data Factory pipeline that contains the Machine Learning Batch Execution activity.
Does this mew the goal?
Using the Batch Execution Activity in an Azure Data Factory pipeline, you can invoke an Azure Machine Learning Studio (classic) web service to make predictions on the data in batch
https://docs.microsoft.com/en-us/azure/data-factory/transform-data-using-machine-learning
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