Data mesh is a concept that helps enterprises manage decentralized information by treating data as part of individual teams' "domains" to be managed on a team-by-team basis, reframing how teams answer business questions and organizing data around this approach. It proposes that siloed teams become an advantage by curating and molding data within their domain to share specific datasets with the rest of the organization. Data mesh encourages enterprises to distribute data management roles to those who know the data best, embracing a full cultural shift towards democratized user-defined data workflows supported by technology. By focusing on specific needs and leveraging specific data, both technical and business teams serve the organization with their best skills. The framework is driven by four principles that feed a communal, iterative approach to democratizing data context, including domain ownership, data "products", federal computational governance, and infrastructure management. To successfully implement data mesh, organizations must consider a real-time data connectivity solution, such as data virtualization, which provides direct access to data from multiple sources and supports the distributed model of data mesh.