Industry
general
Skills
data-wrangling
data-storage
Tools
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