A data mesh architecture is a distributed software model that supports decentralized data ownership and management across business domains, enabling organizations to achieve value from analytical data at scale. The traditional monolithic data infrastructure approach is less effective in large enterprises with diverse data sources and domains, leading to issues such as overburdened data pipelines, isolated teams, and slower delivery of output with new customers or data sources. A data mesh architecture offers benefits like decentralized data ownership and skills, single version of the truth, distributed security, and self-service platform capabilities, allowing business units to take control of their data and create value independently without relying on centralized data specialists. The model is based on domain-oriented design principles, where each business domain owns and manages its own data pipelines, and data is treated as a product with specific transformation requirements and quality standards.