The journey from faster to better
Tuesday, October 13, 2015|
5:30pm - 7:00pm
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About the Event
RocksDB has been adapted to a wide range of workloads. Early adopters needed a DBMS for low-latency & high-throughput workloads. Using RocksDB as an embedded DBMS eliminates network latency per request. When using RocksDB with a fast SSD we are able to get more IO throughput compared to other open-source DBMS that we use in production.
Mark Callaghan worked with great teams to make MySQL better for web-scale deployments at Facebook & Google for 9+ years. His current focus at Facebook is database algorithms and storage systems for small data (OLTP) workloads. He also works with WebScaleSQL and RocksDB to make MySQL and MongoDB better. Prior to his web-scale work he spent many years working on RDBMS internals at Oracle and Informix. He invented and implemented a very fast general purpose sort algorithm for the Oracle RDBMS. He has an MS in CS from UW-Madison.
Contact: Stephen Reger
Faculty Sponsor: Assistant Professor Barzan Mozafari
Open to: Public