EPISODE · Feb 6, 2018 · 45 MIN
The Origins of Airflow
from The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI · host Astronomer
For the first episode of the Airflow Podcast, we met up with Maxime Beauchemin, creator of Airflow, to explore the motivations behind its creation and the problems it was designed to solve. We asked Maxime for his definition of Airflow, the design principles behind hook/operator use, and his vision for the project. Speaker list: Pete DeJoy - Product at Astronomer Viraj Parekh - Data Engineer at Astronomer Maxime Beauchemin - Software Engineer at Lyft, creator of Airflow Talk mentioned at the end of the podcast- Advanced Data Engineering Patterns with Apache Airflow: http://www.ustream.tv/recorded/109227704 Maxime's Blog: https://medium.com/@maximebeauchemin
What this episode covers
For the first episode of the Airflow Podcast, we met up with Maxime Beauchemin, creator of Airflow, to explore the motivations behind its creation and the problems it was designed to solve. We asked Maxime for his definition of Airflow, the design principles behind hook/operator use, and his vision for the project. Speaker list: Pete DeJoy - Product at Astronomer Viraj Parekh - Data Engineer at Astronomer Maxime Beauchemin - Software Engineer at Lyft, creator of Airflow Talk mentioned at the end of the podcast- Advanced Data Engineering Patterns with Apache Airflow: http://www.ustream.tv/recorded/109227704 Maxime's Blog: https://medium.com/@maximebeauchemin
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The Origins of Airflow
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