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Implementing an End-to-End Machine Learning Workflow with Azure Data Factory
 1 day ago

Cover picture for the articleMy definition of a complete workflow starts from the point that data starts flowing into the system and ends when the end report is ready to be put out in front of the intended audience. The process needs data collection, storage, backend engineering, middleware, and frontend engineering. That’s when a product is ready to ship. And we will achieve this entire workflow with Azure Data Factory.