Pain Points
This week, we’ll examine conversations with both old guests and new to paint a comprehensive picture of Airflow’s pain points. While we still undoubtedly believe that Airflow is the future of ETL, it’s important to acknowledge that any incubating p...
The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI · The Data Flowcast
May 31, 201838m 57s
Audio is streamed directly from the publisher (audio-delivery.cohostpodcasting.com) as published in their RSS feed. Play Podcasts does not host this file. Rights-holders can request removal through the copyright & takedown page.
Show Notes
This week, we’ll examine conversations with both old guests and new to paint a comprehensive picture of Airflow’s pain points. While we still undoubtedly believe that Airflow is the future of ETL, it’s important to acknowledge that any incubating project will have issues, and bringing those issues to the forefront of the community’s attention will help shape the future of the project.
We’ll talk with Thomas La Piana (1:36), Data Engineer at OrderMyGear, Frank Hsu (14:20), Data Engineer at mines.io, and Alan Cruickshank (27:41), business insights and data manager at tails.com.
Check out our open-source library of Airflow plugins at github.com/airflow-plugins, and feel free to contribute anything that you've been working on!
If you're interested in being on the podcast or have any feedback on how you think we could make it better, shoot me an email at [email protected]