Daniel Imberman
where else to find them
what they talk about
all 4 in the filters
where they keep going back
no series more than once — all 4 in the filters
on a stage with
- Gonzalo Diazonce
- Rob Deebonce
- Tamara Janina Fingerlinonce
who talks about the same things
- Gerard Toonstra6 talks
- Tamara Janina Fingerlin5 talks
- Kaxil Naik2 talks
- Constance Martineau2 talks
- Miroslav Tomic2 talks
- Isaac Florence2 talks
| title | conference | date |
|---|---|---|
| Airflow DAGs Made Easy: Introducing the Astro SDK | Python Web Conf 2023 | 2023-03-13 |
Astro SDK claims to turn Airflow DAGs into concise Python pipelines by providing aql.load_file, aql.transform, aql.dataframe, aql.append and aql.cleanup that… | ||
| Data Science at Scale: From Notebook to Production with Airflow and Ray | Ray Summit 2021 | 2021-06-22 |
Airflow now runs Ray jobs natively: add the ray_task decorator to a Python function and the task executes on a Ray cluster, returning a Ray object ID stored in… | ||
| Bridging Data Science and Data Infrastructure with Apache Airflow | PyCon US 2020 | 2020-04-15 |
Shows how Apache Airflow moves a prototype from a single-machine Jupyter Notebook to a distributed pipeline running Spark + TensorFlow, using custom Airflow… | ||
| Data Products, From 0 to data science pipeline | PyData Córdoba Argentina 2019 | 2019-09-27 |
Starts with a working prototype in Jupyter notebook then parameterizes it with papermill to produce many variants, uses Apache Airflow DAGs to grid‑search… | ||
| nothing matches | ||