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Exploring the Power of Airflow 3 at Astronomer with Amogh Desai

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Inhoud geleverd door The Data Flowcast. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door The Data Flowcast of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

What does it take to go from fixing a broken link to becoming a committer for one of the world’s leading open-source projects?

Amogh Desai, Senior Software Engineer at Astronomer, takes us through his journey with Apache Airflow. From small contributions to building meaningful connections in the open-source community, Amogh’s story provides actionable insights for anyone on the cusp of their open-source journey.

Key Takeaways:

(02:09) Building data engineering platforms at Cloudera with Kubernetes.

(04:00) Brainstorming led to contributing to Apache Airflow.

(05:17) Starting small with link fixes, progressing to Breeze development.

(07:00) Becoming a committer for Apache Airflow in September 2023.

(09:51) The steep learning curve for contributing to Airflow.

(16:30) Using GitHub’s “good-first-issue” label to get started.

(18:15) Setting up a development environment with Breeze.

(22:00) Open-source contributions enhance your resume and career.

(24:51) Amogh’s advice: Start small and stay consistent.

(28:12) Engage with the community via Slack, email lists and meetups.

Resources Mentioned:

Amogh Desai -

https://www.linkedin.com/in/amogh-desai-385141157/?originalSubdomain=in%20%20https://www.linkedin.com/company/astronomer/

Astronomer -

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

Apache Airflow GitHub Repository -

https://github.com/apache/airflow

Contributors Quick Guide -

https://github.com/apache/airflow/blob/main/CONTRIBUTING.rst

Breeze Development Tool -

https://github.com/apache/airflow/tree/main/dev/breeze

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

46 afleveringen

Artwork
iconDelen
 
Manage episode 456666345 series 2948506
Inhoud geleverd door The Data Flowcast. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door The Data Flowcast of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.

What does it take to go from fixing a broken link to becoming a committer for one of the world’s leading open-source projects?

Amogh Desai, Senior Software Engineer at Astronomer, takes us through his journey with Apache Airflow. From small contributions to building meaningful connections in the open-source community, Amogh’s story provides actionable insights for anyone on the cusp of their open-source journey.

Key Takeaways:

(02:09) Building data engineering platforms at Cloudera with Kubernetes.

(04:00) Brainstorming led to contributing to Apache Airflow.

(05:17) Starting small with link fixes, progressing to Breeze development.

(07:00) Becoming a committer for Apache Airflow in September 2023.

(09:51) The steep learning curve for contributing to Airflow.

(16:30) Using GitHub’s “good-first-issue” label to get started.

(18:15) Setting up a development environment with Breeze.

(22:00) Open-source contributions enhance your resume and career.

(24:51) Amogh’s advice: Start small and stay consistent.

(28:12) Engage with the community via Slack, email lists and meetups.

Resources Mentioned:

Amogh Desai -

https://www.linkedin.com/in/amogh-desai-385141157/?originalSubdomain=in%20%20https://www.linkedin.com/company/astronomer/

Astronomer -

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

Apache Airflow GitHub Repository -

https://github.com/apache/airflow

Contributors Quick Guide -

https://github.com/apache/airflow/blob/main/CONTRIBUTING.rst

Breeze Development Tool -

https://github.com/apache/airflow/tree/main/dev/breeze

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

46 afleveringen

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