Congratulations, you’ve successfully implemented data testing in your pipeline! Whether that’s using an off-the-shelf tool or home cooked validation code, you know that securing your data through data testing is absolutely crucial to ensuring high-quality reliable data insights, and you’ve taken the necessary steps to get there. All your data problems are now solved and you can sleep soundly knowing that your data pipelines will be delivering beautiful, high-quality data to your stakeholders! But wait… not so fast. There’s just one detail you may have missed: What happens when your tests actually fail? Do you know how you’re going to be alerted? Is anyone monitoring the alerts? Who is in charge of responding to them? How would you be able to tell what went wrong? And… how do you fix any data issues that arise?
This is a companion discussion topic for the original entry at https://greatexpectations.io/blog/data-tests-failed-now-what/