A technical product showcase designed for Data Engineers, Scientists, and Analysts, where we’ll explore how to embed data quality checks in your Databricks environment. In this 45-minute webinar, you'll learn how to integrate Soda into your workflows to catch and resolve data quality issues before they affect production.
Discover how Soda can help you:
- Implement data quality checks directly in your Databricks pipelines
- Detect and address issues proactively to maintain high-quality data
- Ensure your data pipelines deliver trusted, reliable data products
In part 1: Data Engineers will see how to define data quality checks entirely as-code within notebooks, scaling testing and catching issues early. In part 2: Data Scientists and Analysts will learn how to catch data quality issues after ingestion or transformation, using Soda to ensure models don’t train on poor-quality data.
