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Understanding Snowpipe in Snowflake

9 Inputs
30 Minutes
Beginner
scenario poster
Industry
general
Skills
stream-etl
Tools
snowflake

Learning Objectives

Understand the need for automated data ingestion using Snowpipe in Snowflake
Explore the ingestion modes in Snowpipe
Understand Snowpipe's load history retention and its impact on data ingestion

Overview

Vinay, a Data Engineer at GlobalMart, struggled with manual data ingestion delays using COPY INTO as files arrived unpredictably. Frequent ingestion increased costs, and scheduled jobs couldn’t guarantee real-time data. Frustrated, he approached Rahul, the Senior Architect, who introduced Snowpipe, Snowflake’s serverless ingestion solution.

Curious about Snowpipe? Let’s dive in!

Prerequisites

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