The data mesh approach to analytics at scale

Data Mesh represents a modern approach to analytics at scale, addressing the limitations of traditional centralized data management systems such as the enterprise data warehouse model. Coined by Zhamak Dehghani, Data Mesh emphasizes decentralization, allowing more efficient access to distributed data and focusing on organizational, architectural, and technological improvements. It is based on four principles: domain-driven data ownership, treating data as a product, creating a self-service infrastructure platform, and federated computational governance. Unlike a single technology or solution, Data Mesh involves rethinking the human aspect of technology and adopting open data platform strategies. Starburst, leveraging its Trino-powered query engine, aligns with this approach by enabling faster access to distributed data, and offers resources to support organizations transitioning to a Data Mesh architecture.