Data mesh is an emerging architectural and organizational paradigm for managing analytical data at scale, emphasizing domain-oriented decentralized data ownership, treating data as a product, self-serve data infrastructure, and federated computational governance. These principles have parallels in traditional database design, particularly in views and materialization. A data mesh allows each domain to own and manage its data, similar to how non-materialized views in databases provide dynamic, query-based access to data without storing it physically, while materialized views offer pre-calculated, snapshot-like data products that prioritize performance over freshness. The self-serve infrastructure in a data mesh echoes modern database capabilities where users can independently create views and tables, balancing autonomy with governance to prevent disorganization and ensure data integrity. Federated governance in a data mesh involves establishing global standards and data contracts to maintain interoperability and security across domains, akin to database constraints and schemas. Overall, the data mesh integrates established database principles to address the complexities of large-scale, modern data environments, leveraging decades of database management wisdom to create scalable, robust data architectures.