#44 Snowflake Nested JSON Tutorial | Convert Nested Data to Structured Data
In this video from the **Snowflake Zero to Hero series (Part 44)**, we will learn how to convert **Nested JSON data into Structured Data in Snowflake**.
Handling semi-structured data like JSON is one of the most important skills for Data Engineers and Snowflake developers. Many real-world datasets coming from APIs, event streams, and logs are stored in **nested JSON format**.
In this tutorial, you will learn step-by-step how Snowflake processes nested JSON data and how we can transform it into structured tables for analytics.
In this video we cover:
• What is Nested JSON data
• How Snowflake stores semi-structured data using VARIANT
• How to load JSON data into Snowflake
• Querying JSON using the colon operator
• Using LATERAL FLATTEN to convert arrays into rows
• Converting Nested Data into Structured Data for analysis
Flow Explained:
Nested JSON → Load into Snowflake → Query JSON → Flatten Arrays → Structured Data → Analysis
This topic is also a very common *Snowflake interview question for Data Engineers and Data Architects.*
If you are preparing for Snowflake interviews or learning Data Engineering, this concept is extremely important.
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