Processing heterogeneous and evolving data is challenging with today’s data frameworks. In the Zed project, we re-architect data processing from the ground up to handle data with heterogeneous and evolving schemas by design. We argue that the key to doing so is to make data types first-class members of our data-processing systems, particularly of our data models and query languages.