62 Epizód

  1. Cutting-Edge Data Engineering at Teya with Alexandre Magno Lima Martins

    Közzétéve: 2024. 08. 08.

  2. Airflow Strategies for Business Efficiency at Campbell with Larry Komenda

    Közzétéve: 2024. 07. 26.

  3. How Laurel Uses Airflow To Enhance Machine Learning Pipelines with Vincent La and Jim Howard

    Közzétéve: 2024. 07. 18.

  4. How Vibrant Planet's Self-Healing Pipelines Revolutionize Data Processing

    Közzétéve: 2024. 06. 27.

  5. The Future of AI in Data Engineering With Astronomer’s Julian LaNeve and David Xue

    Közzétéve: 2024. 05. 29.

  6. The Power of Airflow in Modern Data Environments at Wynn Las Vegas with Siva Krishna Yetukuri

    Közzétéve: 2024. 05. 29.

  7. Powering the Texas Rangers World Series Win With AI on Airflow with Alexander Booth

    Közzétéve: 2024. 05. 29.

  8. Expanding the Data Engineering Toolkit at Reddit

    Közzétéve: 2021. 02. 05.

  9. GDPR, Self-Service Data, and Infrastructure Automation with Typeform

    Közzétéve: 2020. 11. 18.

  10. Adopting Airflow at Netlify

    Közzétéve: 2020. 10. 26.

  11. The Road to Airflow 2.0

    Közzétéve: 2019. 11. 22.

  12. Airflow Breeze

    Közzétéve: 2019. 10. 17.

  13. Open Source and Airflow at Google

    Közzétéve: 2019. 08. 15.

  14. Airflow 1.10 Release

    Közzétéve: 2018. 12. 17.

  15. Role-Based Access Control (RBAC)

    Közzétéve: 2018. 08. 15.

  16. Airflow on Kubernetes

    Közzétéve: 2018. 06. 29.

  17. Pain Points

    Közzétéve: 2018. 05. 31.

  18. Competitors: Luigi

    Közzétéve: 2018. 04. 13.

  19. Best Practices

    Közzétéve: 2018. 03. 21.

  20. Use Cases

    Közzétéve: 2018. 02. 23.

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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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