Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Michael Freedman

Michael Freedman
Cofounder and CTO | Professor of Computer Science, TimescaleDB | Princeton


Michael J. Freedman is the co-founder and CTO of TimescaleDB, an open-source database that scales SQL for time-series data, and a Professor of Computer Science at Princeton University. His research focuses on distributed systems, networking, and security.

Previously, Freedman developed CoralCDN (a decentralized CDN serving millions of daily users) and Ethane (the basis for OpenFlow / software-defined networking). He co-founded Illuminics Systems (acquired by Quova, now part of Neustar) and is a technical advisor to Blockstack.

Honors include: Presidential Early Career Award for Scientists and Engineers (PECASE, given by President Obama), SIGCOMM Test of Time Award, Caspar Bowden Award for Privacy Enhancing Technologies, Sloan Fellowship, NSF CAREER Award, Office of Naval Research Young Investigator Award, DARPA Computer Science Study Group membership, and multiple award publications. Prior to joining Princeton in 2007, he received his Ph.D. in computer science from NYU’s Courant Institute, and his bachelors and masters degrees from MIT.


5:10pm5:50pm Wednesday, March 15, 2017
Real-time applications
Location: LL20 D Level: Intermediate
Secondary topics:  IoT, Streaming
Michael Freedman (TimescaleDB | Princeton)
Average rating: *****
(5.00, 3 ratings)
IoT applications often need more-complex queries than those supported by traditional time series databases. Michael Freedman outlines a new distributed time series database for such workloads, supporting efficient queries, including complex predicates across many metrics, while scaling out to support IoT ingest rates. Read more.
11:00am11:40am Thursday, March 16, 2017
Location: Table A
Michael Freedman (TimescaleDB | Princeton)
Stop by and talk to Michael if you have questions about time series data or the new distributed time series database TimescaleDB. Read more.