Materialize: a Streaming Data Warehouse in Rust

[frankmcsherry]

Lightning talk ⚡️🎤

Talk Title

Materialize: a Streaming Data Warehouse in Rust

Brief description of the talk

For just about one year now we at Materialize have been building a real-time SQL engine in Rust, layered over timely dataflow and differential dataflow. We've made a fair bit of progress, and it is a great time for a quick check-in. We'll do a quick review of the features, call out some neat Rust moments, and possibly squeeze in a demo.

Short personal bio about yourself

Frank McSherry is Chief Scientist at Materialize, Inc., where he and others build streaming compute infrastructure. He has previously worked at ETH Zürich and Microsoft Research, where he (with others) invented things like timely and differential dataflow, and differential privacy. His laptop is a persistent bugbear to the graph systems research community.

[LucioFranco]

@frankmcsherry hey! This seems awesome! Are you available next week to give this?

[frankmcsherry]

Absolutely! I'm already signed up and everything! :D

[LucioFranco]

Perfect! The post has been updated, see you next week!

[lchang]

Thanks, Lucio!  See you next week! On Monday, February 10, 2020, 9:30:29 PM EST, Lucio Franco <notifications@github.com> wrote: Perfect! The post has been updated, see you next week! — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub, or unsubscribe.