Today I would like to explore the capabilities of the Wrangling Data Flows in ADF to flatten the very same sourcing JSON dataset.Īt the time of writing this blog post, ADF Wrangling Data Flows only supports two types of file formats: CSV and Parquet. Part 1: Transforming JSON to CSV with the help of Flatten task in Azure Data Factory Last week I blogged about using Mapping Data Flows to flatten sourcing JSON file into a flat CSV dataset: (2020-Mar- 26) There are two ways to create data flows in Azure Data Factory (ADF): regular data flows also known as " Mapping Data Flows" and Power Query based data flows also known as " Wrangling Data Flows", the latter data flow is still in preview, so do expect more adjustments and corrections to its current behavior.
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