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The Data Flowcast에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Data Flowcast 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Building the Future of Airflow Execution at Astronomer with Ian Buss and Piotr Chomiak

22:25
 
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Manage episode 502869003 series 2053958
The Data Flowcast에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Data Flowcast 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

The evolution of orchestration in Airflow continues with innovations that address both scalability and security. From improving executor reliability to enabling remote execution, these advancements reshape how organizations manage data pipelines.

In this episode, we’re joined by Ian Buss, Principal Software Engineer at Astronomer, and Piotr Chomiak, Principal Product Manager at Astronomer, who share insights into the Astro Executor and remote execution.

Key Takeaways:

00:00 Introduction.

04:13 How product leadership drives scalability for enterprise needs.

08:23 Architectural changes that improve reliability and remove bottlenecks.

10:15 Metrics that enhance visibility into system performance.

12:54 The role of remote execution in addressing security requirements.

15:56 Differences between open-source solutions and managed offerings.

19:04 Broad industry adoption and applicability of remote execution.

20:39 Future advancements in language support and multi-tenancy.

Resources Mentioned:

Ian Buss

https://www.linkedin.com/in/ian-buss/

Piotr Chomiak

https://www.linkedin.com/in/piotr-chomiak-b1955624/

Astronomer | Website

https://www.astronomer.io

Apache Airflow

https://airflow.apache.org/

Airflow Slack Community

https://airflow.apache.org/community/

Beyond Analytics conference

https://astronomer.io/beyond/dataflowcast

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

74 에피소드

Artwork
icon공유
 
Manage episode 502869003 series 2053958
The Data Flowcast에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 The Data Flowcast 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

The evolution of orchestration in Airflow continues with innovations that address both scalability and security. From improving executor reliability to enabling remote execution, these advancements reshape how organizations manage data pipelines.

In this episode, we’re joined by Ian Buss, Principal Software Engineer at Astronomer, and Piotr Chomiak, Principal Product Manager at Astronomer, who share insights into the Astro Executor and remote execution.

Key Takeaways:

00:00 Introduction.

04:13 How product leadership drives scalability for enterprise needs.

08:23 Architectural changes that improve reliability and remove bottlenecks.

10:15 Metrics that enhance visibility into system performance.

12:54 The role of remote execution in addressing security requirements.

15:56 Differences between open-source solutions and managed offerings.

19:04 Broad industry adoption and applicability of remote execution.

20:39 Future advancements in language support and multi-tenancy.

Resources Mentioned:

Ian Buss

https://www.linkedin.com/in/ian-buss/

Piotr Chomiak

https://www.linkedin.com/in/piotr-chomiak-b1955624/

Astronomer | Website

https://www.astronomer.io

Apache Airflow

https://airflow.apache.org/

Airflow Slack Community

https://airflow.apache.org/community/

Beyond Analytics conference

https://astronomer.io/beyond/dataflowcast

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

74 에피소드

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