Moving Beyond Monolithic Data Lakes to Distributed Data Mesh

2021-10-05

Many enterprises invest in their next-gen data lake to democratize data, but common failure modes lead to unfulfilled promises at scale. Shifting from centralized paradigms to modern distributed architectures by treating data as a product, applying platform thinking, and considering domains as first-class concern can address these failure modes. Becoming a data-driven organization provides numerous benefits, including hyper-personalization, operational cost and time reductions, and data-driven optimizations. Zhamak Dehghani, a principal technology consultant at Thoughtworks, discusses the paradigm shift towards a data mesh in this article.

Link [ https://martinfowler.com/articles/data-monolith-to-mesh.html ]

Previous Article

Moving Beyond Monolithic Data Lakes to Distributed Data Mesh

2021-10-05

Many enterprises invest in their next-gen data lake to democratize data, but common failure modes lead to unfulfilled promises at scale. Shifting from centralized paradigms to modern distributed architectures by treating data as a product, applying platform thinking, and considering domains as first-class concern can address these failure modes. Becoming a data-driven organization provides numerous benefits, including hyper-personalization, operational cost and time reductions, and data-driven optimizations. Zhamak Dehghani, a principal technology consultant at Thoughtworks, discusses the paradigm shift towards a data mesh in this article.

Link [ https://martinfowler.com/articles/data-monolith-to-mesh.html ]

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