Daniel Imberman
Employers on the program
- 2020–2023Astronomer5 talks
Appearances by year
- Airflow Summit
- PyCon (national Python conferences)
Talks
| Date | Event | Conference | Role | Title | Links |
|---|---|---|---|---|---|
| Sep 19, 2023 | Airflow Summit 2023 | Airflow Summit | talk | To Debug a DAG: The Airflow local dev story as Astronomer As much as we love airflow, local development has been a bit of a white whale through much of its history. Until recently, Airflow’s local development…Show lessAs much as we love airflow, local development has been a bit of a white whale through much of its history. Until recently, Airflow’s local development experience has been hindered by the need to spin up a scheduler and webserver. | Video |
| May 23, 2022 | Airflow Summit 2022 | Airflow Summit | talk | Introducing Astro Python SDK: The next generation of DAG authoring as Astronomer.io Imagine if you could chain together SQL models using nothing but python, write functions that treat Snowflake tables like dataframes and dataframes like SQL…Show lessImagine if you could chain together SQL models using nothing but python, write functions that treat Snowflake tables like dataframes and dataframes like SQL tables. | SlidesVideo |
| Jul 8, 2021 | Airflow Summit 2021 | Airflow Summit | talk | Apache Airflow and Ray: Orchestrating ML at Scale as Astronomer.io As the Apache Airflow project grows, we seek both ways to incorporate rising technologies and novel ways to expose them to our users. | SlidesVideo |
| Jul 6, 2020 | Airflow Summit 2020 | Airflow Summit | keynote | Keynote: Future of Airflow as Astronomer.io A team of core committers explain what is coming to Airflow 2.0. | SlidesVideo |
| Jul 6, 2020 | Airflow Summit 2020 | Airflow Summit | talk | Machine Learning with Apache Airflow as Astronomer.io This talk discusses how to build an Airflow based data platform that can take advantage of popular ML tools (Jupyter, Tensorflow, Spark) while creating an…Show lessThis talk discusses how to build an Airflow based data platform that can take advantage of popular ML tools (Jupyter, Tensorflow, Spark) while creating an easy-to-manage/monitor As the field of data science grows in popularity, companies find themselves in need of a single common language that can connect their data science teams and data infrastructure teams. | Video |
| Apr 15, 2020 | PyCon US 2020 (Online) | PyCon (national Python conferences) | speaker | Life Beyond Yaml: Bridging Data Science and Data Infrastructure with Apache Airflow When supporting a data science team, data engineers are tasked with building a platform that keeps a wide range of stakeholders happy. | Video |
Frequent co-speakers
| Speaker | Shared events | Shared talks | Last together |
|---|---|---|---|
| Ash Berlin-Taylor | 4 | 1 | 2023 |
| Jarek Potiuk | 4 | 1 | 2023 |
| Kaxil Naik | 4 | 1 | 2023 |
| Alaeddine Maaoui | 4 | — | 2023 |
| Leah Cole | 4 | — | 2023 |
| Maxime Beauchemin | 4 | — | 2023 |
| Rafal Biegacz | 4 | — | 2023 |
| Filip Knapik | 3 | — | 2023 |
| John Jackson | 3 | — | 2023 |
| Kenten Danas | 3 | — | 2023 |
| Mateusz Henc | 3 | — | 2023 |
| Ace Haidrey | 3 | — | 2022 |
| Andrew Godwin | 3 | — | 2022 |
| Dinghang Yu | 3 | — | 2022 |
| Josh Benamram | 3 | — | 2022 |
Speakers with the same name are merged into one entry, so this page may combine more than one person. Affiliations are shown as each conference listed them.