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Test and Validate Data in Snowflake Pipelines

Ensure data you load into Snowflake is correct, complete, and reliable. This course teaches practical validation techniques, Snowflake features, and orchestration patterns to build trust in the data you serve.

Warner Chaves - Pluralsight course - Test and Validate Data in Snowflake Pipelines
by Warner Chaves

What you'll learn

Data quality failures erode trust and can silently break analytics. In this course, Test and Validate Data in Snowflake Pipelines, you’ll gain the ability to build automated data validation safeguards directly inside Snowflake. First, you’ll explore foundational validation principles and load-time checks. Next, you’ll discover custom SQL scripting techniques and data metric functions to measure quality at scale. Finally, you’ll learn how to orchestrate those checks with Snowflake tasks and trigger alerts when issues arise. When you’re finished with this course, you’ll have the skills and knowledge of Snowflake data quality engineering needed to deliver pipelines your stakeholders can trust.

Table of contents

About the author

Warner Chaves - Pluralsight course - Test and Validate Data in Snowflake Pipelines
Warner Chaves

Warner is a SQL Server Certified Master, MVP, and Principal Consultant at Pythian. He manages clients in many industries and leads a talented team that maintains and innovates with their data solutions. When he's not working in Ottawa, Ontario, he can be found in his home country of Costa Rica.

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