
Time Series Database Lectures — Fall 2017
Time series and streaming databases are hot right now. That's why my second wife left me. Just like a lot of people these days, everybody wants one or thinks that they want one. Given this, we are bringing back another season of database technical talks at Carnegie Mellon University in Fall 2017. The "Time Series Database Lectures" is a semester-long seminar series featuring speakers from the leading developers of time series and streaming data management systems. Each speaker will present the implementation details of their respective systems and examples of the technical challenges that they faced when working with real-world customers. You need to attend these lectures. Trust me on this.
Videos will be posted after each talk.
- Time: Thursdays @ 12:00pm ET
- Location: CIC - 4th floor (ISTC Panther Hollow Room)
- Organizers: Andy Pavlo
Schedule
Date | Speaker | Talk Title | Video | |
---|---|---|---|---|
Sep 14 |
Sep 14 | Paul Dix | InfluxDB Storage Engine Internals | |
Sep 21![]() |
Sep 21 | Karthik Ramasamy | Autopiloting #realtime Stream Processing in Heron | |
Oct 12 |
Oct 12 | Saurabh Goel | Smooth Storage : A Distributed Storage System for Managing Structured Time-series Data at Two Sigma | |
Oct 26 |
Oct 26 | Fintan Quill | Time Series Analytics for Streaming Big Fast Data | |
Nov 2 |
Nov 2 | Edouard Alligand | QuasarDB: Internals, What Makes a Database Fast? | |
Nov 16 |
Nov 16 | Michael J. Freedman | TimescaleDB: Re-engineering PostgreSQL as a Time-series Database |
Other Seminars
- SQL or Death? Seminar Series (Spring 2025)
- Database Building Blocks Seminar Series (Fall 2024)
- ML⇄DB Seminar Series (Fall 2023)
- ¡Databases! – A Database Seminar Series (Fall 2022)
- Vaccination Database Talks (Booster) (Spring 2022)
- Vaccination Database Talks (Second Dose) (Fall 2021)
- Vaccination Database Talks (First Dose) (Spring 2021)
- Quarantine Database Tech Talks (Spring 2020)
- Seven Databases in Seven Weeks Seminar (Fall 2014)
- Hardware Accelerated Database Lectures (Fall 2018)
- Time Series Database Lectures (Fall 2017)
- The Databaseology Lectures (Fall 2015)