Data Mesh: The Speedrun by Nick Bozovits
Nick skips the theory and dives straight into the hard choices of scaling data: from deciding how data products should talk to each other and enforcing standards without cramping team autonomy, to picking tools that actually play nice together and keeping governance from turning into red tape.
You’ll get a front-row seat to the scars, trade-offs, and design decisions behind a cloud-native Data Mesh—how teams were set up, roles defined, decentralization balanced with shared rules, and interoperability, metadata, and governance tackled at scale. No fluff, just real lessons from making Data Mesh work.
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