Data mesh architecture is a decentralized approach to data management that allows individual teams to handle their own data, enhancing scalability, flexibility, and decision-making. Key components of this architecture include domain-oriented data ownership, standardized data governance, treating data as a product, self-serve data infrastructure, and interoperability and integration. JP Morgan Chase saved costs and improved outcomes significantly by adopting data mesh principles with Acceldata's support.