In the "Lessons from the trenches in Data Mesh" video, Zhamak Dehghani and Sina Jahan discuss the various aspects of data mesh, emphasizing the importance of standardizing how data is described in order to make it easier to consume. They also discuss the need for a product owner for data as a product, the importance of context mapping, and the need for a global identifier system.
This video discusses the lessons learned from building a data mesh platform. Zhamak Dehghani and Sina Jahan talk about the challenges they faced in balancing the needs of data product developers and consumers, and how Spark transformed their platform from a collection of scripts into a declarative platform users can understand and use. They also discuss the challenges of embedding analytics into data mesh transformations and how the platform evolved to allow for more flexibility. Finally, they talk about how the governance rules for a data mesh platform became embedded as a part of the self-service platform, and how Azure handled sensitive data.