Data Quality as Code (v1.11)

Tired of managing data quality tests in scattered places? Collate's new Data Quality as Code feature in version 1.11 updates how teams handle testing by letting you write, version control, and execute tests directly in your transformation pipelines while maintaining centralized visibility.

What You'll Learn:
How to decentralize data quality test logic while maintaining a unified view of all test results across your data ecosystem
The difference between test runner patterns and runtime validation patterns, including how to implement circuit breakers that prevent bad data from reaching your tables
How to integrate data quality testing seamlessly into Python-based transformation pipelines using VS Code, with results automatically syncing back to the Collate platform

Demo Highlights:
See a real-world implementation using Snowflake, where we transform customer and order data into a lifetime value table with automated quality checks running in code
Watch how runtime validation acts as a circuit breaker, catching data issues before they corrupt your product performance tables and automatically triggering rollback procedures
Explore how test results, incidents, and failure details appear in the Collate UI in real-time, even when tests are executed entirely outside the platform

This walkthrough demonstrates two powerful scenarios: running data quality tests as part of your transformation pipeline and implementing validation to prevent bad data from ever being loaded. You'll see how this approach enables data engineers to treat quality tests as version-controlled libraries that execute within existing workflows.

Your entire team gets centralized visibility into test results, incidents, and data quality metrics through the Collate platform, even though the actual test logic lives in your codebase where it belongs.

Whether you're working with large datasets that need chunked validation or building transformation pipelines that require quality gates, this demo shows you exactly how to implement data quality as code in your organization.

Learn more about Collate: https://www.getcollate.io/
Try Collate's Managed OpenMetadata Service with Demo Data: https://sandbox.open-metadata.org/

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