Advanced Data Engineering with Snowflake

Snowflake connects development practices with the operation of data pipelines. Source control and delivery sit alongside observability and pipeline-health monitoring. It is a focused continuation for learners who can already work with data and want to make changes easier to review and operate.

What you will learn

• Apply DevOps concepts to Snowflake pipelines.
• Organize controlled changes to data infrastructure.
• Evaluate pipeline health through observability.

Who this suits

Learners who understand pipelines, can query tables with SQL, have SQL or Python experience and can use the command line proficiently.

Before you enroll

Check the software versions, cloud-account requirements and lab access terms before enrolling. Running cloud resources can incur separate charges. Use fictional or public sample data, and evaluate reliability, permissions and data quality alongside whether a pipeline runs.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Plan a fictional pipeline change with a review step, a rollback approach and a small set of health indicators.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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