Data Mesh is a paradigm shift in big analytical data management that addresses some of the limitations of the past paradigms, data warehousing and data lake. Data Mesh is founded in four principles: "domain-driven ownership of data", "data as a product", "self-serve data platform" and a "federated computational governance".
In this talk Danilo and Zhamak explore the principle of "domain-driven ownership of data" and why it is a foundational pillar for data mesh. They will share approaches to tackle some of the common hard problems around identifying domain boundaries, and how to contrast data mesh with a more traditional centralized approach to master data management. Finally, they will discuss ways of starting on the transformation journey towards a domain-driven approach to data ownership.
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