Ronert Obst
where else to find them
what they talk about
all 4 in the filters
where they keep going back
- PyData Berlin3 editions2014–2016
on a stage with
- Dat Tran2×
who talks about the same things
- Andy Petrella14 talks
- Holden Karau39 talks
- Dean Wampler29 talks
- Marcin Szymaniuk11 talks
- Guillem Borrell2 talks
- Yousry Mohamed4 talks
| title | conference | date |
|---|---|---|
| PySpark in Practice | PyData Berlin 2016 | 2016-05-20 |
Shows concrete PySpark choices and outcomes: configuration recipes for a 6‑node 64 GB cluster with 1.5× executor overcommit and per‑executor 512 MB Python… | ||
| PySpark in Practice | PyData London 2016 | 2016-05-06 |
Clear, actionable takeaways: configuration recipes (enable compression and speculative execution, reduce Python concurrency to avoid OOMs, use Anaconda on… | ||
| Smart cars of tomorrow: real-time driving patterns | PyData Berlin 2015 | 2015-05-29 |
Prototype streams car data from a Bluetooth OBD II dongle through an iOS app Herbie into a Spring XD pipeline, stores raw traces in Hadoop, caches live state… | ||
| Massively Parallel Processing with Procedural Python | PyData Berlin 2014 | 2014-07-25 |
Claims that Python runs inside the database to avoid moving terabytes of data to memory, using PL/Python to call numpy scikit-learn and NLTK on nodes and… | ||
| nothing matches | ||