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

The Origins of Airflow

45 min•6 februari 2018

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

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

Introducing Airflow 3.2

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Reflections on a Decade of Data Engineering at Seattle Data Guy

3 apr.•26 min

Managing Data Quality and Governance With Airflow at Credit Karma with Ashir Alam

26 mars•22 min

Open Source Airflow Contributions and Performance Improvements at G-Research with Christos Bisias

19 mars•18 min

Automating Threat Intelligence Using Airflow with Karan Alang

12 mars•22 min

Using Plugins To Customize Airflow at Ponder Labs with Egor Tarasenko

5 mars•28 min

Scaling Airflow at Wix for Analytics and AI with Ethan Shalev

26 feb.•18 min

Using Airflow To Orchestrate Billions of Events at Addi with Carlos Daniel Puerto Niño

19 feb.•25 min

Building Event-Driven Data Pipelines With Airflow 3 at Astrafy with Andrea Bombino

12 feb.•19 min

Uphold’s Approach to Orchestrating Modern Data Workflows with Jaime Oliveira

5 feb.•19 min

The Data Flowcast: Mastering Apache Airflow ® for Data Engineering and AI med Astronomer finns tillgänglig på flera plattformar. Informationen på denna sida kommer från offentliga podd-flöden.