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 Emily and Zhamak will talk about data platforms in a mesh architecture. They will cover topics such as what does it take to make data sets independently understandable? How do we empower individual domain teams to deliver data products, while lowering their cognitive load? How do we build a platform that enables data generalists and reduces the need for specialization?
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