Data leaders across industries are embracing data mesh. However, it’s easy to be skeptical based on past trends that have come and gone. Those fads forced us to adjust our strategy, overhaul our tech, or re-skill our teams.
But the reason data teams want to understand better how to implement data mesh is that it solves genuine pain points. Specifically, the problems created by an exhaust-friendly data lake and the all-too-often disconnect between teams – of data producers, data consumers, and those in between – that contribute to the value chain of a data product.