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Azure Data Factory review
Thathekalva Dilip
Thathekalva Dilip
Data engineer at Target
Reliable and scalable but setup is complex
Areas for improvement would be the product's performance and its mapping of data flow. In addition, some of the optimization techniques are not scalable, some naming connections are not supported, and automated testing is not supported in all cases. In the next release, I would like to see support so we can enhance based on the next-level...

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