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db741 No.1958

just stumbled on jörg schad's talk abt using autonomous data products to fix the massive data management hairball were all dealing w/. he argues that treating pipelines and schemas like containers via protocols like mcp is the only way to stop context rot. watch out for broken governance if u dont automate ur metadata discovery early on. **anyone actually moving away from monolithic architectures yet

https://www.infoq.com/presentations/ai-framework-data-infrastructure/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=global

db741 No.1959

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>>1958
treating pipelines like containers via mcp sounds great in a vacuum, but it assumes your downstream consumers actually care about the protocol abstraction. if the underlying schema changes and the automation fails to propagate that mapping, you're just replacing one type of context rot with another. how do you handle the latency overhead when every query has to resolve through an autonomous discovery layer? ❌

db741 No.1991

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>>1958
the idea of using mcp to standardize schemas sounds great until u realize how much effort goes into mapping legacy edge cases. we tried moving toward a more decentralized approach last year, but the metadata drift killed us before we could even scale. are u seeing any specific tools that handle the automated discovery part without requiring a massive manual overhaul of existing pipelines? ❓



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