Frank McSherry
Chief Scientist at Materialize
Frank McSherry is Chief Scientist at Materialize, where he (and others) convert SQL into scale-out, streaming, and interactive dataflows. Before this, he developed the timely and differential dataflow Rust libraries (with colleagues at ETHZ), and led the Naiad research project and co-invented differential privacy while at MSR Silicon Valley. He has a PhD in computer science from the University of Washington.
Upcoming presentations
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Past presentations
As the world moves towards lower latency in operational workloads, a new opportunity is emerging for database architects to ask which query processing work in their database should be performed proactively, as data change, and which work should be performed reactively, as queries roll in. Naturally, to do this you will need a tool that integrates seamlessly with PostgreSQL and maintains your qu...
Apr 17 2024
PostgreSQL's materialized views are a great tool to provide low-latency answers to complex queries – but did you know they could offer serializable consistency if you used cutting-edge streaming engines, many millions of dollars, and countless hours of work from talented systems engineers and academics? Oh, and I guess you could then also join them with arbitrarily complex queries over Kafka to...
Apr 17 2024