State the difference between the transformation procedures known as Mapping data flow and Wrangling data flow when it comes to Data Factory?

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State the difference between the transformation procedures known as Mapping data flow and Wrangling data flow when it comes to Data Factory?

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JackTerrance · Answer 1 · 2023-07-13T15:57:01+0000

The process of graphically designing and transforming data is referred to as mapping data flow. This application allows you to design data transformation logic in a graphical interface without the need to engage a professional programmer, which is a significant benefit. In addition to this, it is executed as an activity within the ADF pipeline on a scaled-out Spark cluster that is fully managed by the ADF.
On the other hand, a non-programmatic method of data preparation is referred to as "wrangling data flow activity," which is the phrase that is used. Users of spark get access to all of the data manipulation capabilities of Power Query M since spark is compatible with Power Query Online. This gives users more control over the data.