Exploring Semi Structured Data Processing in Snowflake

Learning Objectives

Learn how Snowflake supports semi-structured formats

Understand the use of VARIANT, ARRAY, and OBJECT data types.

Understand how to access semi structured data in Snowflake

Get familiar with different semi structured functions available in Snowflake

Overview

Vinay, a Data Engineer at GlobalMart, struggled to integrate product reviews, order details, and inventory updates from multiple vendors into Snowflake. Each JSON file had a different structure, making it hard to store and query efficiently. Unsure how to handle nested and inconsistent data, he sought guidance from Rahul, the Senior Architect.

Prerequisites

Basic understanding of Snowflake architecture
Familiarity with databases, schemas, and tables in Snowflake.
Understanding of stages, file formats and COPY command in Snowflake