Understanding Tasks in Snowflake

Learning Objectives

Understand the working of tasks in Snowflake

Understand how to chain tasks together to form Directed Acyclic Graphs (DAGs) for structured execution.

Learn how to resume, suspend, and modify tasks effectively.

Overview

Vinay, a Data Engineer at GlobalMart, struggled with manually updating sales data daily. Seeking automation, he consulted Rahul, the Senior Architect, who introduced Snowflake Tasks for scheduling SQL execution. Vinay learned about interval-based, CRON-based, and serverless tasks, along with task dependencies forming DAGs for sequential execution. Rahul also explained activation, modification, and best practices. By the end, Vinay understood how to automate and optimize workflows using Snowflake Tasks efficiently.

Prerequisites

Basic understanding of Snowflake architecture
Familiarity with databases, schemas, and tables in Snowflake.
Understanding of virtual warehouses in Snowflake.
Basic awareness of stored procedures and Snowflake scripting