Presented By O'Reilly and Cloudera
Make Data Work
September 25–26, 2017: Training
September 26–28, 2017: Tutorials & Conference
New York, NY

Meet the Expert with Michael Freedman (TimescaleDB | Princeton)

Michael Freedman (TimescaleDB | Princeton)
2:05pm2:45pm Thursday, September 28, 2017
Location: O'Reilly booth (Table A)

Talk with Michael about handling time series data across an organization. (Hint: it’s not just for DevOps.)

Photo of Michael Freedman

Michael Freedman

TimescaleDB | Princeton

Michael J. Freedman is a professor in the Computer Science Department at Princeton University and the cofounder and CTO of TimescaleDB, which provides an open source time series database optimized for fast ingest and complex queries. His research broadly focuses on distributed systems, networking, and security. He developed and operates several self-managing systems, including CoralCDN (a decentralized content distribution network) and DONAR (a server resolution system that powered the FCC’s Consumer Broadband Test), both of which serve millions of users daily. Michael’s other research has included software-defined and service-centric networking, cloud storage and data management, untrusted cloud services, fault-tolerant distributed systems, virtual world systems, peer-to-peer systems, and various privacy-enhancing and anticensorship systems. Michael’s work on IP geolocation and intelligence led him to cofound Illuminics Systems, which was acquired by Quova (now part of Neustar). His work on programmable enterprise networking (Ethane) helped form the basis for the OpenFlow/software-defined networking (SDN) architecture. His honors include the Presidential Early Career Award for Scientists and Engineers (PECASE), a Sloan fellowship, the NSF CAREER Award, the Office of Naval Research Young Investigator Award, DARPA Computer Science Study Group membership, and multiple award publications. Michael holds a PhD in computer science from NYU’s Courant Institute and both an SB and an MEng degree from MIT.