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

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Manage episode 493621102 series 2948506
Content provided by The Data Flowcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Data Flowcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://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 contributions helped shape Airflow 3.0, including an intuitive drag-and-drop DAG editor and a new REST API endpoint for managing XComs.

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

64 episodes

Artwork
iconShare
 
Manage episode 493621102 series 2948506
Content provided by The Data Flowcast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Data Flowcast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://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 contributions helped shape Airflow 3.0, including an intuitive drag-and-drop DAG editor and a new REST API endpoint for managing XComs.

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

64 episodes

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