Allison Wang
where else to find them
no profile links on file
what they talk about
all 4 in the filters
where they keep going back
no series more than once — all 3 in the filters
on a stage with
- Lu Qiuonce
- Shujing Yangonce
who talks about the same things
- Matthew Topol9 talks
- Wes McKinney11 talks
- Uwe L. Korn9 talks
- Matthew Powers2 talks
- Will Ayd3 talks
- Patrick Hoefler11 talks
| title | conference | date |
|---|---|---|
| Polars on Spark | PyData Seattle 2025 | 2025-11-07 |
Claims that combining PySpark Arrow UDFs with Polars yields real speed and memory wins: Polars is a Rust DataFrame that reads Arrow without copying, enabling… | ||
| Empowering PySpark with Lance Format for Multi-Modal AI Data Pipelines | PyData Global 2024 | 2024-12-03 |
Claim: PySpark writes directly to Lance format using the Python Data Source API and Arrow so transformed data lands as Lance fragments without intermediate… | ||
| Faster PySpark with Apache Arrow | PyData NYC 2024 | 2024-11-06 |
Claims that Apache Arrow reduces PySpark serialization cost and speeds Python UDFs by concrete amounts and shows working examples. Benchmarks show… | ||
| nothing matches | ||