Pain Points episode artwork

EPISODE · May 31, 2018 · 38 MIN

Pain Points

from The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI · host Astronomer

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]

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]

NOW PLAYING

Pain Points

0:00 38:57

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Frequently Asked Questions

How long is this episode of The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI?

This episode is 38 minutes long.

When was this The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI episode published?

This episode was published on May 31, 2018.

What is this episode about?

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...

Can I download this The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!