Data Mesh signifies an era in how enterprises handle data management by transitioning from conventional centralized data repositories and reservoirs to a more distributed model. This approach tackles the constraints of singular data frameworks by dispersing data ownership and accountability among various sectors within a company. Through an in-depth examination of existing literature in the field of Data Mesh including domain-oriented data ownership and data as a product the paper at hand is exploring a practical way of implementing Data Mesh in organizations. For businesses considering a transition to Data Mesh architecture, this document offers a comprehensive guide, exploring both the technical complexities of implementing Data Mesh and the organizational changes required for successful adoption. Moreover, it emphasizes the importance of teams, domain-specific expertise, and a fundamental shift in organizational mindset toward taking responsibility for and managing data assets.

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Data Mesh: Challenges and Barriers in Mastering Decentralized Data Volumes

  • Alessandro Nolè,
  • Alessio Pugliese,
  • Jaleban Jeevarajah,
  • Mike Krey

摘要

Data Mesh signifies an era in how enterprises handle data management by transitioning from conventional centralized data repositories and reservoirs to a more distributed model. This approach tackles the constraints of singular data frameworks by dispersing data ownership and accountability among various sectors within a company. Through an in-depth examination of existing literature in the field of Data Mesh including domain-oriented data ownership and data as a product the paper at hand is exploring a practical way of implementing Data Mesh in organizations. For businesses considering a transition to Data Mesh architecture, this document offers a comprehensive guide, exploring both the technical complexities of implementing Data Mesh and the organizational changes required for successful adoption. Moreover, it emphasizes the importance of teams, domain-specific expertise, and a fundamental shift in organizational mindset toward taking responsibility for and managing data assets.