Designing Data-Intensive Applications
PulseAugur coverage of Designing Data-Intensive Applications — every cluster mentioning Designing Data-Intensive Applications across labs, papers, and developer communities, ranked by signal.
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ML system failures stem from early architecture choices, not model accuracy
This article discusses the critical architectural decisions in machine learning systems that cannot be delegated to engineering teams alone. It emphasizes that most ML failures in production stem from early design choic…
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Designing Data-Intensive Applications: The Cloud & Doing the Right Thing
The second edition of "Designing Data-Intensive Applications" by Martin Kleppmann and Chris Riccomini updates the influential 2016 book to reflect the widespread adoption of cloud computing. This revised edition explore…
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Designing Data-intensive Applications with Martin Kleppmann
Martin Kleppmann, author of the influential book "Designing Data-Intensive Applications," discussed the second edition of his work on the Pragmatic Engineer podcast. The updated edition reflects changes in distributed s…