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Why the Data Mesh Sucks
You into three fallacies, the need to build any platform at all, the need to build a data mesh, and lots of coupling inside the platform
“The most valuable resource is no longer oil, but data.” to put it with the words of The Economist. To extract that value from data is the new frontier for companies of this century. Data meshes appeared in 2019 to change efforts around data fundamentally. In my words, data meshes are pretty simple (but not easy).
“An organization has a data mesh, if it has decentralized the responsibility for data to the data producing organizational unit. That means transforming & serving data potentially happens decentrally as well.”
The stark contrast is the status quo still for many companies, where data is a “byproduct” for which either no one, or the analytics department is responsible.
The tech consultancy ThoughtWorks popularized the idea of data meshes in 2019, many companies followed with their implementations and seemed to have fallen for some of the following three fallacies. Why is that a problem? Because these fallacies negate the positive effects of decentralization.