New roundup issue: Data Mesh, Contracts, and Distributed Ownership.https://roundup.getdbt.com/p/data-mesh-contracts-and-distributed?r=23p7n&utm_campaign=post&utm_medium=web&utm_source=twitter …
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Replying to @jthandy
Really appreciated the discussion around what decentralized ownership of code and knowledge means in practice! It matches up well with some things I've written about before
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Replying to @imightbemary @jthandy
From what I've read, the idea of the data mesh is focused mostly on warehousing, and I generally think that's right. Shared data models are a high leverage place to attempt to standardize knowledge because downstream analysts, DS and business users don't even know it's happening
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Replying to @imightbemary @jthandy
But all the problems you cite can manifest themselves in code for analysis too! Data people love to bemoan how their analysis patterns are too unique or custom for standardization, and while I'm sympathetic, I'm not convinced it's impossible
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Replying to @imightbemary @jthandy
In many cases, the assumptions of an analysis framework or statistical model are function like the integration points or APIs you mention, and some of the biggest problems arise from practitioners not understanding or willfully ignoring those assumptions
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Replying to @imightbemary @jthandy
Just look at A/B tests. They are an incredibly widespread form of standardized data analysis, and one of the things that is most likely to make them worthless interpretation-wise is a violation of the stable unit treatment value assumption
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I like the idea of the data mesh, but it's only one piece of the puzzle. Data warehouses being a type of data product that connect to other data products (like experimentation platforms or funnel analysis tools) through standardized APIs is IMO a helpful extension of the concept
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