Understanding Snowpipe in 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