Zhamak Dehghani, founder of the data mesh, dispels common misunderstandings around this the data mesh, an increasingly popular approach to building a

Decoding the Data Mesh

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2021-08-12 17:00:04

Zhamak Dehghani, founder of the data mesh, dispels common misunderstandings around this the data mesh, an increasingly popular approach to building a distributed data architecture, and shares how some of the best teams are getting started.

Nowadays, it seems like every data person falls into two camps: those who understand the data mesh and those who don’t.

Rarely in recent memory has a topic taken the data world by storm, spawning a thriving community, hundreds of blog articles, and sighs of relief from data leaders across industries struggling with democratization and scalability.

But with this new adoption also brings new opportunities for misunderstanding around the true nature of a data mesh – and how to build one – only grows.

A few months ago, I joined Thoughtworks’ Zhamak Dehghani, pioneer of the data mesh framework, and Lena Hall, Director of Engineering, Big Data at Microsoft, for a discussion about all things data mesh. During the conversation, Zhamak dispelled many of its biggest misconceptions, including whether or not the data mesh was a standalone technology, who should (or shouldn’t) be building one, and if data mesh is just another word for data virtualization (hint: it’s not).