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"𝗪𝗲'𝗿𝗲 𝗶𝗺𝗽𝗹𝗲𝗺𝗲𝗻𝘁𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗠𝗲𝘀𝗵 𝘁𝗼 𝘀𝗼𝗹𝘃𝗲 𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝗽𝗿𝗼𝗯𝗹𝗲𝗺𝘀." I hear this constantly. And it's usually followed by exactly the same anti-patterns that made their data lake a graveyard. Here's what I'm seeing in enterprise after enterprise: 𝗗𝗼𝗺𝗮𝗶𝗻 𝗖𝗼𝗻𝗳𝘂𝘀𝗶𝗼𝗻 Teams spend months defining "domains" based on org charts instead of actual business value flows. Then they wonder why the data doesn't align with how work actually gets done. 𝗧𝗵𝗲 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗧𝗿𝗮𝗽 Data Mesh becomes the new ETL. Teams create "data products" that are really just APIs moving operational data between systems. This isn't analytics architecture – it's expensive middleware. 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗣𝗿𝗼𝗹𝗶𝗳𝗲𝗿𝗮𝘁𝗶𝗼𝗻 Every team builds their own data stack because "decentralization." Six months later, you have 12 different security models, incompatible data formats, and nobody who can support any of it. 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗯𝘆 𝗛𝗼𝗽𝗲 "We'll establish governance as we go." Translation: "We'll deal with compliance and security after we get hacked or audited." Sound familiar? 𝗜𝘁'𝘀 𝘁𝗵𝗲 𝗱𝗮𝘁𝗮 𝗹𝗮𝗸𝗲 𝗽𝗹𝗮𝘆𝗯𝗼𝗼𝗸 𝘄𝗶𝘁𝗵 𝗻𝗲𝘄 𝗯𝘂𝘇𝘇𝘄𝗼𝗿𝗱𝘀. The uncomfortable truth: Your data problems aren't technical. They're organizational. • You don't know who owns what data • You can't define what a "product" actually is • Your teams lack the platform skills to be autonomous • You have no governance framework for federated decisions Data Mesh can work. But only if you fix the foundations first: ✓ 𝗗𝗼𝗺𝗮𝗶𝗻 𝗼𝘄𝗻𝗲𝗿𝘀𝗵𝗶𝗽 aligned with business reality, not IT structure ✓ 𝗔𝗰𝘁𝘂𝗮𝗹 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝘀 that deliver value to real customers ✓ 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀 that enable teams without requiring PhD-level expertise ✓ 𝗚𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲 𝗴𝘂𝗮𝗿𝗱𝗿𝗮𝗶𝗹𝘀 established before teams need them 𝗧𝗵𝗲 𝗾𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗲𝘃𝗲𝗿𝘆 𝗖𝗧𝗢 𝘀𝗵𝗼𝘂𝗹𝗱 𝗮𝘀𝗸: 𝗔𝗿𝗲 𝘄𝗲 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗮 𝗗𝗮𝘁𝗮 𝗠𝗲𝘀𝗵 𝗼𝗿 𝗷𝘂𝘀𝘁 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗶𝗻𝗴 𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 𝘀𝘄𝗮𝗺𝗽? Parallaxis #DataMesh #DataGovernance #PlatformEngineering