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Building the Future of Airflow Execution at Astronomer with Ian Buss and Piotr Chomiak

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内容由The Data Flowcast提供。所有播客内容(包括剧集、图形和播客描述)均由 The Data Flowcast 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.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

81集单集

Artwork
icon分享
 
Manage episode 502860937 series 2948506
内容由The Data Flowcast提供。所有播客内容(包括剧集、图形和播客描述)均由 The Data Flowcast 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.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

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