Postgres Conference

About

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.

Frank McSherry has presented the following presentations

Enabling New Operational Use Cases with PostgreSQL at Postgres Conference 2024

presented by Frank McSherry

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...

Wed 17 2024 Essentials

Better materialized views in 1 million LOC: Inside Materialize's PostgreSQL source at Postgres Conference 2024

presented by Frank McSherry

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...

Wed 17 2024 Dev