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Techniques

Data mesh

Nov 2019
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Data mesh is an architectural paradigm that unlocks analytical data at scale; rapidly unlocking access to an ever-growing number of distributed domain data sets, for a proliferation of consumption scenarios such as machine learning, analytics or data intensive applications across the organization. Data mesh addresses the common failure modes of the traditional centralized data lake or data platform architecture, with a shift from the centralized paradigm of a lake, or its predecessor, the data warehouse. Data mesh shifts to a paradigm that draws from modern distributed architecture: considering domains as the first-class concern, applying platform thinking to create a self-serve data infrastructure, treating data as a product and implementing open standardization to enable an ecosystem of interoperable distributed data products.