How to Create Valuable Data Tests

Data quality has been widely discussed over the past year. The increasing adoption of data contracts, data products, and data observability tools certainly shows data practitioners’ commitment to providing high-quality data to their consumers. We all love to see this! One essential building block in data solutions is data tests. It’s one of the most fundamental and practical ways to validate data quality and is explicitly or implicitly embedded in many data solutions. While its effectiveness has yielded significant benefits for data teams, it also raises questions regarding how to maximize its potential values because having more tests doesn’t necessarily mean having higher data quality. In this article, I want to show you some approaches to designing data tests. Hopefully, they can shed some light here. <a href="https://medium.com/towards-data-science/how-to-create-valuable-data-tests-850e778718e1">Read More</a>