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Understanding Data Loading in Snowflake

21 Inputs
1 Hour 30 Minutes
Beginner
scenario poster
Industry
general
Skills
data-wrangling
batch-etl
Tools
snowflake

Learning Objectives

Understand the data ingestion process in Snowflake
Differentiate between internal and external stages
Learn how to use the PUT and COPY INTO commands to efficiently load data from stages
Familiarize yourself with file formats and COPY options in Snowflake

Overview

Vinay, a Data Engineer at GlobalMart, needed to load ADLS data into Snowflake but discovered there was no direct import option. Seeking guidance, he consulted Rahul, the Senior Architect, who introduced stages, the PUT command, and COPY INTO for efficient data loading. Through their discussion, Vinay also learned about file formats, COPY options, and load history tracking, enabling him to optimize data ingestion and ensure efficient data processing in Snowflake.

Prerequisites

  • Knowledge of Snowflake Data Architecture
  • Familiarity with at least one data platform (AWS, Azure, GCP, etc.)