I'm currently migrating an experiment & webservice over from AzureML Classic to the new AzureML.
One of the actions the classic webservice did was export data into SQL Server during the run. In the new Azure ML, I have created a new pipeline with an export data module (essentially replicating how it was in classic), however, after reading the docs I'm told this would be removed in a live endpoint? https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/export-data
I need to store the data that is output from the pipeline somewhere. What are the best practice solutions to do this?
Give me a shout if you need any more info / I've not explained the problem well enough!