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

Airflow on Kubernetes

55 min•29 juni 2018
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!

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Introducing Airflow 3.2
•26 min
Reflections on a Decade of Data Engineering at Seattle Data Guy
•26 min
Managing Data Quality and Governance With Airflow at Credit Karma with Ashir Alam
•22 min
Open Source Airflow Contributions and Performance Improvements at G-Research with Christos Bisias
•18 min
Automating Threat Intelligence Using Airflow with Karan Alang
•22 min
Using Plugins To Customize Airflow at Ponder Labs with Egor Tarasenko
•28 min
Scaling Airflow at Wix for Analytics and AI with Ethan Shalev
•18 min
Using Airflow To Orchestrate Billions of Events at Addi with Carlos Daniel Puerto Niño
•25 min
Building Event-Driven Data Pipelines With Airflow 3 at Astrafy with Andrea Bombino
•19 min
Uphold’s Approach to Orchestrating Modern Data Workflows with Jaime Oliveira
•19 min

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