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Exploring Semi Structured Data Processing in Snowflake

13 Inputs
45 Minutes
Intermediate
scenario poster
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

Prerequisites

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