The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI

The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI

By AstronomerTechnology
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The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI episodes

  • Airflow on Kubernetes
    In this episode, we dove into the relationship between Airflow and Kuberenetes and interviewed Daniel Imberman, Senior Software Engineer at Bloomberg (1:30), and Greg Neiheisel, CTO here at Astronomer (37:31). Daniel has done most of the work on the Kubernetes executor for Airflow and Greg plans to take on a chunk of the development going forward, so it was really interesting to hear both of their perspectives on the project. Enjoy!
    56 min
  • Pain Points
    This week, we’ll examine conversations with both old guests and new to paint a comprehensive picture of Airflow’s pain points. While we still undoubtedly believe that Airflow is the future of ETL, it’s important to acknowledge that any incubating project will have issues, and bringing those issues to the forefront of the community’s attention will help shape the future of the project.
    We’ll talk with Thomas La Piana (1:36), Data Engineer at OrderMyGear, Frank Hsu (14:20), Data Engineer at mines.io, and Alan Cruickshank (27:41), business insights and data manager at tails.com.
    Check out our open-source library of Airflow plugins at github.com/airflow-plugins, and feel free to contribute anything that you've been working on!
    If you're interested in being on the podcast or have any feedback on how you think we could make it better, shoot me an email at [email protected]
    39 min
  • Competitors: Luigi
    On this episode, we linked up with Erik Bernhardsson (@erikbern), creator of Luigi and CTO of Better Mortgage. We chatted about everything from the motivations behind Luigi's creation and his current thoughts on Airflow- we hope you enjoy!
    Check out:
    - Erik's blog at erikbern.com
    - Our open-source library of Airflow plugins at github.com/airflow-plugins
    All podcast feedback is hugely appreciated- feel free to email me at [email protected] if you have any thoughts.
    28 min
  • Best Practices
    In this episode, we dive into Airflow Best Practices and include longer portions of interviews with Alan Cruickshank (1:30), Business Insights and Data Manager at Tails.com, Chris Riccomini (7:27), Principal Software Engineer at WePay, and Bolke de Bruin(31:45), Head of Advanced Analytics Technology at ING. Hope you enjoy!
    We're still working to get better at podcasting, so please send over any feedback to [email protected]. We really appreciate hearing what the community has to say, and your feedback is hugely helpful in making us better.
    If you're interested in Astronomer Spacecamp, a guided Airflow development course, you can find more info on that here:
    https://www.astronomer.io/blog/announcing-astronomer-spacecamp/
    We also launched our Managed Airflow on Product Hunt last week- you can check that out here:
    https://www.producthunt.com/posts/apache-airflow-on-astronomer
    Thanks so much for listening!
    59 min
  • Use Cases
    Episode 2 of The Airflow Podcast is here to discuss six specific use cases that we’ve seen for Apache Airflow. Here’s the lineup:
    Patrick Atwater (@patwater), Water Data Projects Manager at ARGO Labs: 2:03-5:35
    Maksime Pecherskiy (@mrmaksimize), CDO of San Diego: 5:35-23:06
    Scott Halgrim (@shalgrim), Data Engineer at Zapier: 23:06-27:27
    Bolke de Bruin (@bolke2028), Head of Advanced Analytics at ING: 27:27-39:46
    Chris Riccomini (@criccomini), Principal Software Engineer at WePay: 39:46-54:20
    Ben Gregory (@benbeingbin), Data Engineer (and noted craft soda enthusiast) at Astronomer: 54:20-1:14:38
    Contribute to our open-source library of Airflow plugins at github.com/airflow-plugins
    Contact us at www.astronomer.io if you’re interested in Spacecamp: A guided development program to get your team up and running on Airflow.
    1 hr 16 min
  • The Origins of Airflow
    For the first episode of the Airflow Podcast, we met up with Maxime Beauchemin, creator of Airflow, to explore the motivations behind its creation and the problems it was designed to solve. We asked Maxime for his definition of Airflow, the design principles behind hook/operator use, and his vision for the project.
    Speaker list:
    Pete DeJoy - Product at Astronomer
    Viraj Parekh - Data Engineer at Astronomer
    Maxime Beauchemin - Software Engineer at Lyft, creator of Airflow
    Talk mentioned at the end of the podcast- Advanced Data Engineering Patterns with Apache Airflow: http://www.ustream.tv/recorded/109227704
    Maxime's Blog: https://medium.com/@maximebeauchemin
    46 min
  • Season One Teaser
    A sneak peek at our upcoming podcast about Apache Airflow.
    Featured in this clip (in order of appearance):
    Pete DeJoy - Product Specialist at Astronomer
    Patrick Atwater - Water Data Projects Manager at ARGO Labs
    Maksime Pecherskiy - Chief Data Officer of the City of San Diego
    Bolke de Bruin - Head of Advanced Analytics at ING
    4 min

About The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI

From the publisher's feed

Welcome to The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI— the podcast where we keep you up to date with insights and ideas propelling the Airflow community forward.

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