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I'm currently trying to evaluate Microsoft Azure ML for my company. I tried it a bit with offline data and it looks promising, but for better evaluation, I want to use the online data we have. Our data is stored in Amazon Redshift service, and I couldn't find a way to permanently connect Redshift to Azure ML so it would take the new data, process it and store the results back in Redshift. Is there some way to use Redshift as a data source for Azure ML? Of course, the easier the better.

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You can do so with the help of Azure Data Factory.

And from data factory, it is easy to migrate to Azure ML. Here is a blog to help.

The result can be stored in Redshift data warehouse. 

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