From the course: Data Quality Testing with Great Expectations
Data quality testing with GX introduction - Great Expectations Tutorial
From the course: Data Quality Testing with Great Expectations
Data quality testing with GX introduction
Data quality is the foundation of everything that we build with data. Dashboards, analytics, machine learning models, AI systems, none of them work if the underlying data can't be trusted. You've probably heard of the phrase garbage in, garbage out. But data quality is still often treated as an afterthought, something that we deal with only after a number looks off or a dashboard breaks. In this course, we're going to change that. You'll learn how to use Great Expectations, or Gx for short, a powerful open source framework for testing and validating data. By the end, you'll be able to build data quality checks that are automated, repeatable, and production ready. And most importantly, you'll know how to catch data problems early before they turn into broken dashboards, misleading analyses, or faulty models. Alright, are you ready? Let's do this. you
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