A more common scenario is to convert a JSON array into multiple rows in a related table. In my sample JSON object, my addresses property is a good candidate to be converted into rows in a new table ...

Once you have your JSON outputs, you can convert them into dictionaries for more flexible and Pythonic manipulation. This allows you to work with the data in a way that is intuitive and efficient.