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Implementing Streams and Tasks in Snowflake

2 Scenarios
2 Hours
Intermediate
project poster
Industry
e-commerce
Skills
approach
Tools
snowflake

Learning Objectives

Capture real-time DML operations using Snowflake Streams for auditing and change data capture.
Automate the movement and transformation of incremental data using Snowflake Tasks.
Develop an end-to-end pipeline from source table to a processed target using only SQL scripting.
Understand the practical use of Streams and Tasks in modern data engineering scenarios.

Overview

Prerequisites

  • Understanding of Snowflake tables and their types (permanent, transient, temporary).
  • Knowledge of how to create and load data using stages in Snowflake.
  • Familiarity with setting up storage integrations for accessing external cloud storage.
  • Basic to intermediate understanding of SQL scripting and procedural logic in Snowflake.
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