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The Future of Airflow Telemetry with Bolke de Bruin

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Kandungan disediakan oleh The Data Flowcast. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh The Data Flowcast atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

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/[email protected]

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

  continue reading

81 episod

Artwork
iconKongsi
 
Manage episode 494958441 series 2053958
Kandungan disediakan oleh The Data Flowcast. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh The Data Flowcast atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.player.fm/legal.

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/[email protected]

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

  continue reading

81 episod

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