Presented By
O’Reilly + Cloudera
Make Data Work
29 April–2 May 2019
London, UK
Michael Freedman

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

Website

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.

Sessions

14:55–15:35 Thursday, 2 May 2019
Performant time series data management and analytics with PostgreSQL
Data Engineering and Architecture, Expo Hall
 Location: Expo Hall 2 (Capital Hall N24)
Secondary topics:  Streaming and realtime analytics, Temporal data and time-series
Michael Freedman (TimescaleDB | Princeton University)
Average rating: ****.
(4.75, 4 ratings)
Time series databases require ingesting high volumes of structured data, answering complex, performant queries for recent and historical time intervals, and performing specialized time-centric analysis and data management. Michael Freedman explains how to avoid these operational problems by reengineering Postgres to serve as a general data platform, including high-volume time series workloads. Read more.