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SE Radio 623: Michael J. Freedman on TimescaleDB

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Manage episode 426848766 series 215
Content provided by SE-Radio Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SE-Radio Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Michael J. Freedman, the Robert E. Kahn Professor in the Computer Science Department at Princeton University, as well as the co-founder and CTO of Timescale, spoke with SE Radio host Gavin Henry about TimescaleDB. They revisit what time series data means in 2024, the history of TimescaleDB, how it integrates with PostgreSQL, and they take the listeners through a complete setup. Freedman discusses the types of data well-suited for a timeseries database, the types of sectors that have these requirements, why PostgreSQL is the best, Pg callbacks, Pg hooks, C programming, Rust, their open source contributions and projects, data volumes, column-data, indexes, backups, why it is common to have one table for your timeseries data, when not to use timescaledb, IoT data formats, Pg indexes, how Pg works without timescaledb, sharding, and how to manage your upgrades if not using Timescale Cloud. Brought to you by IEEE Computer Society and IEEE Software magazine.

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988 episodes

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Manage episode 426848766 series 215
Content provided by SE-Radio Team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SE-Radio Team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Michael J. Freedman, the Robert E. Kahn Professor in the Computer Science Department at Princeton University, as well as the co-founder and CTO of Timescale, spoke with SE Radio host Gavin Henry about TimescaleDB. They revisit what time series data means in 2024, the history of TimescaleDB, how it integrates with PostgreSQL, and they take the listeners through a complete setup. Freedman discusses the types of data well-suited for a timeseries database, the types of sectors that have these requirements, why PostgreSQL is the best, Pg callbacks, Pg hooks, C programming, Rust, their open source contributions and projects, data volumes, column-data, indexes, backups, why it is common to have one table for your timeseries data, when not to use timescaledb, IoT data formats, Pg indexes, how Pg works without timescaledb, sharding, and how to manage your upgrades if not using Timescale Cloud. Brought to you by IEEE Computer Society and IEEE Software magazine.

  continue reading

988 episodes

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