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    Technology

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

    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.

    Join us each week, as we explore the current state, future and potential of Airflow with leading thinkers in the community, and discover how best to leverage this workflow management system to meet the ever-evolving needs of data engineering and AI ecosystems.

    Podcast Webpage: https://www.astronomer.io/podcast/

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    Latest Episodes:
    The Origins of Airflow Feb 06, 2018
    Show notes

    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


    Season One Teaser Jan 18, 2018
    Show notes

    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


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