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Mapping Data Flows provide a way to transform data at scale without any coding required. You can design a data transformation job in the data flow designer by constructing a series of transformations.
description: Learn how to handle SQL truncation errors in Azure Data Factory using mapping data flows.
One of the many big announcements at Build this week, and one that caused a lot of discussion on Twitter, was about Wrangling Data Flows in Azure Data Factory. You can read the blog post here: …but ...
In response to developer feedback, Microsoft is taking a page from the growing visual, low-code development approach to simplify Big Data analytics in the cloud with Azure Data Factory.
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