Mar 15–18, 2020
Michael Freedman

Michael Freedman
Cofounder and CTO | Professor, TimescaleDB | Princeton University


Michael J. Freedman is the cofounder and CTO of TimescaleDB and a full professor of computer science at Princeton University. His work broadly focuses on distributed and storage systems, networking, and security, and his publications have more than 12,000 citations. He developed CoralCDN (a decentralized content distribution network serving millions of daily users) and helped design Ethane (which formed the basis for OpenFlow and software-defined networking). Previously, he cofounded Illuminics Systems (acquired by Quova, now part of Neustar) and served as a technical advisor to Blockstack. Michael’s honors include a Presidential Early Career Award for Scientists and Engineers (given by President Obama), the SIGCOMM Test of Time Award, a Sloan Fellowship, an NSF CAREER award, the Office of Naval Research Young Investigator award, and support from the DARPA Computer Science Study Group. He earned his PhD at NYU and Stanford and his undergraduate and master’s degrees at MIT.


2:35pm3:15pm Tuesday, March 17, 2020
Location: LL20A
Michael Freedman (TimescaleDB | Princeton University)
Time series data tends to accumulate very quickly, across DevOps, IoT, industrial and energy, finance, and other domains. Time series data is everywhere, with monitoring and IoT applications generating tens of millions of metrics per second and petabytes of data. Michael Freedman shows you how to build a distributed time series database that offers the power of full SQL at scale. Read more.

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