Introduction
Have you ever struggled with handling JSON data in SQL queries? If so, you’re not alone. In this post, we’ll explore a real-world scenario where we tackled this challenge in Snowflake, transforming complex JSON structures into structured, queryable data.
Understanding the Challenge
In one of our ETL projects, we process raw data ingested from a third-party REST API into a Snowflake database. Some parent-child relationships within this data are stored as JSON strings inside VARCHAR columns.
Here is a simplified example for the purposes of this article:
