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  • Data Mesh Architecture: Decentralizing Data Ownership
    The principles of Data Mesh Architecture include domain-oriented decentralized data ownership, data as a product, and self-serve data infrastructure Decentralizing data ownership through Data Mesh Architecture can lead to improved data quality, faster innovation, and better alignment with business goals The Problems with Centralized Data
  • Data Mesh Explained: Decentralized Data Governance and Domain . . .
    Data Mesh is built on four core principles that underpin its unique approach: Domain-oriented decentralized architecture: Data is no longer managed solely by central data teams Instead, it is owned and managed by domain-oriented teams with deep contextual knowledge about the data
  • Data Mesh Principles and Logical Architecture - Martin Fowler
    Data mesh addresses these dimensions, founded in four principles: domain-oriented decentralized data ownership and architecture, data as a product, self-serve data infrastructure as a platform, and federated computational governance
  • Data Mesh: the path to data decentralization - Artefact
    A decentralized Data Mesh strategy treats data as a product and provides domain-specific teams with data ownership through a self-service platform that has embedded data governance Data Lakes are minimally governed storage areas for raw domain data
  • Decentralizing Data Management: The Rise of Data Mesh . . .
    Data Mesh Architecture decentralizes data ownership, empowering domain teams to manage their data, improving agility, quality, and decision-making while enhancing scalability for modern enterprises
  • Understanding Data Mesh: Fundamentals of Decentralized Data . . .
    Data Mesh is a modern data architecture that shifts from centralized data platforms to a decentralized, domain-oriented approach It promotes treating data as a product, with domain teams taking ownership of their data pipelines, ensuring scalability and better alignment with business needs





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