Data Mesh
Traditional data governance often struggles to keep pace with modern data needs. Data Mesh, introduced in 2019 by Zhamak Dehghani in her book “Data Mesh: Delivering Data-Driven Value at Scale”, offers a decentralized approach, treating data as a product owned by domain teams. This model promotes scalability, agility, and business-driven insights by distributing responsibility while maintaining governance through federated principles. As organizations mature in their data governance journey—guided by frameworks like the Gartner Data Governance Maturity Model—adopting a data mesh can help bridge the gap between governance and innovation.
While Data Mesh might seem idealistic, its core principles—treating data as a product and decentralizing ownership—are practical and can boost your data governance maturity.
