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المحتوى المقدم من The Data Flowcast. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة The Data Flowcast أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.
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Inside Airflow 3: Redefining Data Engineering with Vikram Koka

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Manage episode 447789918 series 2053958
المحتوى المقدم من The Data Flowcast. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة The Data Flowcast أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

Data orchestration is evolving faster than ever and Apache Airflow 3 is set to revolutionize how enterprises handle complex workflows. In this episode, we dive into the exciting advancements with Vikram Koka, Chief Strategy Officer at Astronomer and PMC Member at The Apache Software Foundation. Vikram shares his insights on the evolution of Airflow and its pivotal role in shaping modern data-driven workflows, particularly with the upcoming release of Airflow 3.

Key Takeaways:

(02:36) Vikram leads Astronomer’s engineering and open-source teams for Airflow.

(05:26) Airflow enables reliable data ingestion and curation.

(08:17) Enterprises use Airflow for mission-critical data pipelines.

(11:08) Airflow 3 introduces major architectural updates.

(13:58) Multi-cloud and edge deployments are supported in Airflow 3.

(16:49) Event-driven scheduling makes Airflow more dynamic.

(19:40) Tasks in Airflow 3 can run in any language.

(22:30) Multilingual task support is crucial for enterprises.

(25:21) Data assets and event-based integration enhance orchestration.

(28:12) Community feedback plays a vital role in Airflow 3.

Resources Mentioned:

Vikram Koka -

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

Astronomer -

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

The Apache Software Foundation LinkedIn -

https://www.linkedin.com/company/the-apache-software-foundation/

Apache Airflow LinkedIn -

https://www.linkedin.com/company/apache-airflow/

Apache Airflow -

https://airflow.apache.org/

Astronomer -

https://www.astronomer.io/

The Apache Software Foundation -

https://www.apache.org/

Join the Airflow slack and/or Dev list -

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

Apache Airflow Survey -

https://astronomer.typeform.com/airflowsurvey24

Thanks for listening to The Data Flowcast: Mastering Airflow for Data Engineering & 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

40 حلقات

Artwork
iconمشاركة
 
Manage episode 447789918 series 2053958
المحتوى المقدم من The Data Flowcast. يتم تحميل جميع محتويات البودكاست بما في ذلك الحلقات والرسومات وأوصاف البودكاست وتقديمها مباشرة بواسطة The Data Flowcast أو شريك منصة البودكاست الخاص بهم. إذا كنت تعتقد أن شخصًا ما يستخدم عملك المحمي بحقوق الطبع والنشر دون إذنك، فيمكنك اتباع العملية الموضحة هنا https://ar.player.fm/legal.

Data orchestration is evolving faster than ever and Apache Airflow 3 is set to revolutionize how enterprises handle complex workflows. In this episode, we dive into the exciting advancements with Vikram Koka, Chief Strategy Officer at Astronomer and PMC Member at The Apache Software Foundation. Vikram shares his insights on the evolution of Airflow and its pivotal role in shaping modern data-driven workflows, particularly with the upcoming release of Airflow 3.

Key Takeaways:

(02:36) Vikram leads Astronomer’s engineering and open-source teams for Airflow.

(05:26) Airflow enables reliable data ingestion and curation.

(08:17) Enterprises use Airflow for mission-critical data pipelines.

(11:08) Airflow 3 introduces major architectural updates.

(13:58) Multi-cloud and edge deployments are supported in Airflow 3.

(16:49) Event-driven scheduling makes Airflow more dynamic.

(19:40) Tasks in Airflow 3 can run in any language.

(22:30) Multilingual task support is crucial for enterprises.

(25:21) Data assets and event-based integration enhance orchestration.

(28:12) Community feedback plays a vital role in Airflow 3.

Resources Mentioned:

Vikram Koka -

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

Astronomer -

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

The Apache Software Foundation LinkedIn -

https://www.linkedin.com/company/the-apache-software-foundation/

Apache Airflow LinkedIn -

https://www.linkedin.com/company/apache-airflow/

Apache Airflow -

https://airflow.apache.org/

Astronomer -

https://www.astronomer.io/

The Apache Software Foundation -

https://www.apache.org/

Join the Airflow slack and/or Dev list -

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

Apache Airflow Survey -

https://astronomer.typeform.com/airflowsurvey24

Thanks for listening to The Data Flowcast: Mastering Airflow for Data Engineering & 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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