Data mesh is a contemporary approach to IT infrastructure that emphasizes agility, simplicity, and flexibility by integrating people, processes, and technology. This architectural mindset aims to reduce complexity and align data products with their owners, ensuring teams have the necessary data access and self-service capabilities. Key practices for successfully implementing a data mesh include prioritizing evolvability, establishing a hierarchical domain structure, managing complexity, refining ownership models, and defining default implementations. Additionally, it underscores the importance of thinking deeply about the temporal aspects of data, instituting feedback loops for continuous improvement, and viewing the data mesh as a dynamic process rather than a static technology. By focusing on interoperable data without relying on centralized control, organizations can effectively share data across teams, adapting the mesh to suit unique needs and evolving requirements.