When you work with ETL and the source file is JSON, many documents may get nested attributes in the JSON file. Your requirements will often dictate that you flatten those nested attributes. There are many ways you can flatten the JSON hierarchy, however; I am going to share my experiences with Azure Data Factory (ADF) to flatten JSON.
The ETL process involved taking a JSON source file, flattening it, and storing in an Azure SQL database. The attributes in the JSON files were nested, which required flattening them. The source JSON looks like this:
{ « id »: « 01 », « name »: « Tom Hanks »,