Revisiting the Gamma paper for my grad DB class. Struck by how ambitious the project was and how professional the work still feels 30+ years later.
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They innovated on redundant disk failure layout analysis before RAID. They did parallel dataflow deacdes before MapReduce. They wrote their own OS. They implemented a version of ARIES. They built a competent query optimizer.
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Speedup/Scaleup results look good, blemishes admitted and explained. Great model for ambitious, long-term academic system building. https://scholar.google.com/scholar?cluster=8912521541627865753 …
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I understand why the MapReduce and Big Data hype was frustrating for DeWitt. Students: if you're looking for 20th century systems work that doesn't read like archaeology, read the Gamma paper.
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