Working with semi structured data in Snowflake

In the previous blog post we have covered the basics about semi structured data and what kind of support Snowflake offers. We have also gone through various methods of ingesting semi structured data into Snowflake. Now we have the data in Snowflake, so what’s next? Let’s focus on working with semi structured data in this blog post. We are going through transformation capabilities and what kind of functions Snowflake offers. This will be more practical story, full of code which you can grab and run. 🧑‍💻.

Snowflake JSON Parsing Functions

This article was originally written for SELECT. You can find complete blog post here.

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Tomáš Sobotík
Snowflake Builders Blog: Data Engineers, App Developers, AI/ML, & Data Science

Lead data engineer & architect, Snowflake Data Superhero and SME, O'Reilly instructor. Obsessed by cloud & data solutions. ☁️ ❄️