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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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Transforming the Airflow UI for Cloudera’s Users with Shubham Raj

22:28
 
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Manage episode 493621102 series 2948506
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.

Contributing to open-source projects can be daunting, but it can also unlock unexpected innovation. This episode showcases how one engineer’s journey with Apache Airflow led to impactful UI enhancements and infrastructure solutions at scale. Shubham Raj, Software Engineer II at Cloudera, shares how his team built a drag-and-drop DAG editor for non-coders, contributions which helped shape the Airflow 3.0 Ul and introduced features like external XCom control and bulk APls.

Key Takeaways:

(02:30) Day-to-day responsibilities building platforms that simplify orchestration.

(05:27) Factors that make onboarding into large open-source projects accessible.

(07:35) The value of improved user interfaces for task state visibility and control.

(09:49) Enabling faster debugging by exposing internal data through APIs.

(13:00) Balancing frontend design goals with backend functionality.

(14:19) Creating workflow editors that lower the barrier to entry.

(16:54) Supporting a variety of task types within a visual DAG builder.

(19:32) Common infrastructure challenges faced by orchestration users.

(20:37) Addressing dependency management across distributed environments.

Resources Mentioned:

Shubham Raj

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

Cloudera | LinkedIn

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

Cloudera | Website

https://www.cloudera.com/

Apache Airflow

https://airflow.apache.org/

2023 Airflow Summit

https://airflowsummit.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

  continue reading

68 에피소드

Artwork
icon공유
 
Manage episode 493621102 series 2948506
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.

Contributing to open-source projects can be daunting, but it can also unlock unexpected innovation. This episode showcases how one engineer’s journey with Apache Airflow led to impactful UI enhancements and infrastructure solutions at scale. Shubham Raj, Software Engineer II at Cloudera, shares how his team built a drag-and-drop DAG editor for non-coders, contributions which helped shape the Airflow 3.0 Ul and introduced features like external XCom control and bulk APls.

Key Takeaways:

(02:30) Day-to-day responsibilities building platforms that simplify orchestration.

(05:27) Factors that make onboarding into large open-source projects accessible.

(07:35) The value of improved user interfaces for task state visibility and control.

(09:49) Enabling faster debugging by exposing internal data through APIs.

(13:00) Balancing frontend design goals with backend functionality.

(14:19) Creating workflow editors that lower the barrier to entry.

(16:54) Supporting a variety of task types within a visual DAG builder.

(19:32) Common infrastructure challenges faced by orchestration users.

(20:37) Addressing dependency management across distributed environments.

Resources Mentioned:

Shubham Raj

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

Cloudera | LinkedIn

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

Cloudera | Website

https://www.cloudera.com/

Apache Airflow

https://airflow.apache.org/

2023 Airflow Summit

https://airflowsummit.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

  continue reading

68 에피소드

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