Matthew Topol
where else to find them
linkedin:matt-topol-92390533
what they talk about
all 5 in the filters
where they keep going back
- Øredev2 editions2023–2024
on a stage with
- Will Aydonce
who talks about the same things
- Wes McKinney11 talks
- Sudheesh Katkam2 talks
- Will Ayd3 talks
- Allison Wang3 talks
- Uwe L. Korn9 talks
- Raúl Cumplido6 talks
| title | conference | date |
|---|---|---|
| Backstage interview | PyData Paris 2025 | 2025-09-30 |
Apache Arrow's concrete claims and ecosystem work matter here: a memory layout that is identical on wire and in memory enabling zero copy communication… | ||
| Practical Applications of Apache Arrow | PyData Virginia 2025 | 2025-04-18 |
Apache Arrow specifies a columnar in‑memory layout that is identical on the wire so systems achieve zero-copy IPC across C, Python, Go, Java and more and avoid… | ||
| Embrace the chaos: Composable data systems with fewer asterisks | Øredev 2024 | 2024-11-06 |
Concrete claims and demos lead the choice: adoption of Apache Arrow as a zero copy in‑memory column format, using ADBC + FlightSQL for driver and RPC… | ||
| ODBC takes an Arrow to the knee: ADBC | Øredev 2024 | 2024-11-06 |
ADBC standardizes a C API that transports zero-copy Arrow payloads so columnar OLAP systems avoid row↔column transposes; drivers exist for Snowflake, Flight… | ||
| Leveraging Apache Arrow for ML Workflows | Øredev 2023 | 2023-11-08 |
Claims concrete wins: Arrow enables 30x speedups (DuckDB + Flight vs Spark/Hive) by avoiding serialize/deserialize, Hugging Face caches several‑dozen‑GB… | ||
| State of the Apache Arrow Ecosystem:How your project can leverage Arrow! | Øredev 2023 | 2023-11-08 |
Apache Arrow is an in‑memory columnar spec that claims zero‑copy data exchange and shows it with concrete tooling: Arrow Flight / Flight SQL for wire RPC, ADBC… | ||
| nothing matches | ||