Matthias Niehoff
where else to find them
what they talk about
all 7 in the filters
where they keep going back
no series more than once — all 8 in the filters
on a stage with
- Marina Khaustovaonce
who talks about the same things
- Ryan Boyd11 talks
- Lars Albertsson14 talks
- Mikiko Bazeley6 talks
- Hannes Mühleisen19 talks
- Manju Anand3 talks
- Rasmus Steiniche2 talks
| title | conference | date |
|---|---|---|
| DuckDB beyond the notebook | Berlin Buzzwords 2026 | 2026-06-07 |
DuckDB is shown running in the browser via DuckDB browser WebAssembly, loading Parquet/CSV from S3 or local files and connecting to Arrow/Polars without… | ||
| Analyze data easily with duckdb - and the implications on data architectures | PyCon DE & PyData 2025 | 2025-04-23 |
DuckDB is an in-process analytical engine that queries Parquet/JSON over HTTP and S3 (example: reads a 2.5 GB JSON blob) and can attach tiny catalog files (few… | ||
| Can Data & ML really learn from software engineering? | Øredev 2024 | 2024-11-06 |
Argues that data and ML can borrow concrete software practices and also teach software about data as first‑class product, showing patterns like replacing ETL… | ||
| Can Data & ML really learn from software engineering? | Voxxed Days Brussels 2024 | 2024-05-21 |
Argues that software practices help but don’t map one-to-one: notebooks are for experiments not production, test logic with unit and integration tests but add… | ||
| Modern Data Architectures – What They Are and How to Implement? | Software Architecture Gathering – Digital 2023 | 2023-11-27 |
Explains why modern pipelines flip ETL to ELT and put cloud warehouses like Snowflake and BigQuery at the center, shows when a data lakehouse… | ||
| Cybersecurity in Web3 | w3.vision x DMEXCO 2023 | 2023-09-20 |
Claims that on-chain visibility lets teams move from reactive cleanup to prevention: blockchain analytics watches transactions, trains AI to flag odd flows and… | ||
| Data Mesh: What It Is & Why Developers Should Care | code.talks 2022 | 2022-09-15 |
Data Mesh is presented as a modern architecture for managing analytical data, contrasting it with Data Lakes and Data Warehouses and explaining its core ideas… | ||
| Data Stream Processing Concepts and Implementations | Devoxx Belgium 2017 | 2017-11-06 |
Overview of concrete stream-processing choices and tradeoffs: Google Cloud Dataflow API style watermarks and triggers balance latency vs correctness (example… | ||
| nothing matches | ||