TimescaleDB: Leveraging PostgreSQL for Reliability
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
- Visualizing data with Grafana
Lab: Install and demo Grafana
- An introduction to TimescaleDB Enterprise: Reordering and data retention
- 2019 March 18 13:00
- 3 h
- Union Square
- Postgres Conference