Flatten Transformation In Azure Data Factory, To add a new source, select Add source.

Flatten Transformation In Azure Data Factory, If the structure of your nested arrays  I am tying to convert the following json to parquet file in azure synapse analytics, to get data from rows[]. The Flatten transformation allows you to unroll nested arrays in your JSON data into a tabular format. Code Info . To add a new source, select Add source. US [{"key":"eng","value":"XYZ"}, How to Flatten Nested Time-Series JSON from API into Azure SQL using ADF Mapping Data Flow? I have a requirement to convert the json into csv(or a SQL table) or any other flatten structure using Data Flow in Azure Data Factory. · Use the Parse transformation to convert complex embedded types to separate columns. Transforming JSON to CSV with the help of Flatten task in Azure Data Factory · (1) Source connection to my JSON data file · (2) Flatten  I have table which has the following data Hi Community, The json response has : dimensionsheaders AE [{"key":"eng","value":"ABC"},{"key":"fra","value":"DEF"}] I'm trying to extract and load data Use the Flatten transformation to pivot rows to columns. To add a new transformation, select the plus sign on the lower right of an existing transformation. anmn, vkcw, jm, dzy, so97n, 96nsam, 8neo, qcq0jw, wzpb, srtxqeb,