Data Mesh

Data mesh is a decentralized approach to data management that distributes data ownership to individual domains within an organization, contrasting with traditional centralized data lakes. Current research focuses on establishing effective decentralized governance models and integrating technologies like federated learning to enable collaborative analysis across these distributed data sources while maintaining data privacy. This paradigm shift aims to improve data accessibility, agility, and quality, impacting both the efficiency of data-driven decision-making in organizations and the development of privacy-preserving machine learning techniques.