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DataCamp

Advanced Data Engineering with Snowflake

via DataCamp

Overview

Build reliable Snowflake pipelines with DevOps and observability: Git, CI/CD, and Snowflake Trail monitoring.



Take your Snowflake data pipelines to production with DevOps and observability. In this hands-on course, you'll implement source control with Git, manage database changes declaratively using CREATE OR ALTER, and automate deployments with the Snowflake CLI and GitHub Actions. Then you'll make pipelines observable with Snowflake Trail, using event tables, logging, traces, alerts, and notifications to monitor pipeline health and respond quickly when issues arise. By the end, you'll be able to build, deploy, and maintain reliable pipelines that scale with modern demands.

Syllabus

  • DevOps with Snowflake
    • Learn how to apply DevOps best practices to Snowflake data pipelines, from source control with Git to declarative database changes with CREATE OR ALTER and automated CI/CD using the Snowflake CLI and GitHub Actions.
  • Observability with Snowflake
    • In this final chapter, you'll learn how to make data pipelines observable with Snowflake Trail, using event tables, logging, traces, alerts, and notifications to monitor pipeline health and act on issues quickly.

Taught by

Snowflake Northstar

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