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Practical Approaches to Implementing a Data Mesh

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Data Mesh offers a new paradigm for fulfilling the promised value of data. It rejects long-standing centralized data architectures such as the data lake and the data warehouse.

In the dynamic landscape of data management, companies continually seek innovative approaches to harness the full potential of their data assets. This report from Eckerson Group explores the emerging paradigm of Data Mesh, a novel strategy designed to address challenges in leveraging data for informed decision-making and operational efficiency.

As organizations strive to evolve their data practices, this report serves as a valuable guide, offering actionable insights into building effective cross-functional teams, establishing governance structures, and defining data product standards. Whether contemplating the adoption of Data Mesh or seeking universal data management improvements, you will find a wealth of knowledge to navigate the evolving landscape of data-driven enterprises.

Key Takeaways:

  • Gain a comprehensive understanding of the key principles of Data Mesh.
  • Gain a comprehensive understanding of the key principles of Data Mesh.
  • Receive practical insights and experiences from organizations like the BBC and Roche, offering a real-world perspective on implementing Data Mesh.
  • Receive practical insights and experiences from organizations like the BBC and Roche, offering a real-world perspective on implementing Data Mesh.
  • Learn about strategies for mapping organizational domains, including considerations for functional and cross-functional areas, and how to handle master data spanning multiple domains.
  • Learn about strategies for mapping organizational domains, including considerations for functional and cross-functional areas, and how to handle master data spanning multiple domains.
  • Understand the importance of starting small with a use-case-driven approach.
  • Understand the importance of starting small with a use-case-driven approach.
  • Delve into the composition and dynamics of cross-functional domain teams, and the importance of domain knowledge, data engineering skills, and effective communication within teams.
  • Delve into the composition and dynamics of cross-functional domain teams, and the importance of domain knowledge, data engineering skills, and effective communication within teams.
  • Learn about the critical role of federated governance teams, the formulation of data product standards, and the significance of a minimally viable data product in achieving success with Data Mesh.

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