![]() ![]() I really like this visual way to transform (flatten) a sourcing JSON stream into a CSV file. All next Flatten transformation tasks' outputs were tripled in their results, and my final Output file contained all 41 expected records! Source file Data Preview correctly showed me 3 rows. Let's use this JSON data file as an example And when this vertical JSON structural set contains several similar sets (array) then ADF Mapping Data Flows Flatten does a really good job by transforming it into a table with several rows (records). ![]() I like the analogy of the Transpose function in Excel that helps to rotate your vertical set of data pairs ( name : value) into a table with the column names and values for corresponding objects. For example, we have a JSON file called PatchingServer.JSON stored at C:\temp and its content is as below. Part 2: Transforming JSON to CSV with the help of Flatten task in Azure Data Factory - Part 2 (Wrangling data flows) How to convert JSON file to CSV file using PowerShell PowerShell Microsoft Technologies Software
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