Presented by:

Michael J. Freedman is a Professor in the Computer Science Department at Princeton University, as well as the co-founder and CTO of Timescale, which provides an open-souce database that scales out SQL for time-series data. His research broadly focuses on distributed systems, networking, and security, and has led to commercial products and deployed systems reaching millions of users daily. Honors include a Presidential Early Career Award (PECASE), Sloan Fellowship, NSF CAREER Award, ONR Young Investigator Award, DARPA CSSG membership, and multiple award publications.

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TimescaleDB is an open-source time-series database powered by PostgreSQL, and in this tutorial we will cover TimescaleDB's capabilities, punctuated with short labs. Specifically, we will discuss:

- Getting started with TimescaleDB

Lab: Install and configure TimescaleDB

- Modeling, inserting, and querying data

Lab: Ingest and query sample data

- TimescaleDB's analytic functions

Lab: Gap-Filling

- Visualizing data with Grafana

Lab: Install and demo Grafana

- An introduction to TimescaleDB Enterprise: Reordering and data retention

- Q&A

2019 March 18 13:00
3 h
Union Square
Postgres Conference