Name: Advanced Data Engineering with Snowflake
Rating: 4.85 (20 reviews)

Advanced Data Engineering with Snowflake

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

SnowflakeData Engineering3 ч{count, plural, one {# видео} few {# видео} many {# видео} other {# видео}}{count, plural, one {# упражнение} few {# упражнения} many {# упражнений} other {# упражнения}}1,900 XP195Заявление об успешном завершении

R3 ч{count, plural, one {# видео} few {# видео} many {# видео} other {# видео}}{count, plural, one {# упражнение} few {# упражнения} many {# упражнений} other {# упражнения}}1,900 XP195Заявление об успешном завершении

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Описание курса

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.

Предварительные требования

Introduction to Modern Data Engineering with Snowflake

Программа

Структура курса

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.

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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.