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The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI
Astronomer
78 episodes
3 days ago
Welcome to The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI— the podcast where we keep you up to date with insights and ideas propelling the Airflow community forward. Join us each week, as we explore the current state, future and potential of Airflow with leading thinkers in the community, and discover how best to leverage this workflow management system to meet the ever-evolving needs of data engineering and AI ecosystems. Podcast Webpage: https://www.astronomer.io/podcast/
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All content for The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI is the property of Astronomer and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Welcome to The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI— the podcast where we keep you up to date with insights and ideas propelling the Airflow community forward. Join us each week, as we explore the current state, future and potential of Airflow with leading thinkers in the community, and discover how best to leverage this workflow management system to meet the ever-evolving needs of data engineering and AI ecosystems. Podcast Webpage: https://www.astronomer.io/podcast/
Show more...
Technology
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The Future of Airflow Telemetry with Bolke de Bruin
The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI
21 minutes 55 seconds
3 months ago
The Future of Airflow Telemetry with Bolke de Bruin

Telemetry has the potential to guide the future of Airflow, but only if it’s implemented transparently and with community trust. 


In this episode, we’re joined by Bolke de Bruin, Director at Metyis and a long-time Airflow PMC member. Bolke discusses how telemetry has been handled in the past, why it matters now and what it will take to get it right.


Key Takeaways:


(03:20) The role of foundations in establishing credibility and sustainability.

(04:52) Why data collection is critical to open-source project direction.

(07:24) Lessons learned from previous approaches to user data collection.

(10:23) The current state of telemetry in the project.

(10:53) Community trust as a prerequisite for technical implementation.

(12:54) The importance of managing sensitive data within trusted ecosystems.

(16:37) Ethical considerations in balancing participation and access.

(18:45) Forward-looking ideas for improving workflow design and usability.


Resources Mentioned:


Bolke de Bruin

https://www.linkedin.com/in/bolke/


Metyis | LinkedIn

https://www.linkedin.com/company/metyis/


Metyis | Website

http://www.metyis.com


Apache Airflow

https://airflow.apache.org/


Airflow Summit

https://airflowsummit.org/


Airflow Dev List

https://lists.apache.org/list.html?dev@airflow.apache.org


https://www.astronomer.io/events/roadshow/london/

   

https://www.astronomer.io/events/roadshow/new-york/ 

  

https://www.astronomer.io/events/roadshow/sydney/   


https://www.astronomer.io/events/roadshow/san-francisco/  

 

https://www.astronomer.io/events/roadshow/chicago/ 




Thanks for listening to “The Data Flowcast: Mastering Apache Airflow® for Data Engineering and AI.” If you enjoyed this episode, please leave a 5-star review to help get the word out about the show. And be sure to subscribe so you never miss any of the insightful conversations.



#AI #Automation #Airflow #MachineLearning

The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI
Welcome to The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI— the podcast where we keep you up to date with insights and ideas propelling the Airflow community forward. Join us each week, as we explore the current state, future and potential of Airflow with leading thinkers in the community, and discover how best to leverage this workflow management system to meet the ever-evolving needs of data engineering and AI ecosystems. Podcast Webpage: https://www.astronomer.io/podcast/