How to Create Valuable Data Tests

<p>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&rsquo; commitment to providing high-quality data to their consumers. We all love to see this!</p> <p>One essential building block in data solutions is data tests. It&rsquo;s one of the most fundamental and practical ways to validate data quality and is explicitly or implicitly embedded in many data solutions.</p> <p>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&rsquo;t necessarily mean having higher data quality. In this article, I want to show you some approaches</p> <p><a href="https://medium.com/towards-data-science/how-to-create-valuable-data-tests-850e778718e1"><strong>Read More</strong></a></p>
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