Africa-focused technology, digital and innovation ecosystem insight and commentary.
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Contenido proporcionado por The Data Flowcast. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The Data Flowcast o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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Expanding the Data Engineering Toolkit at Reddit
MP3•Episodio en casa
Manage episode 284124796 series 2053958
Contenido proporcionado por The Data Flowcast. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The Data Flowcast o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Welcome back to the Airflow Podcast. This week, we met up with Ben Wisegarver, a staff data scientist at Reddit who runs their data warehousing and data engineering functions. Reddit users generate petabytes of data every day that needs to be processed, stored, and analyzed by a wide breadth of backend services. Our conversation with Ben touches on everything from Airflow as a tool for career mobility across the data stack to scaling out a self-service data architecture across many teams. For folks interested, our team at Astronomer is growing rapidly and we're on the hunt for new folks to join in a variety of different roles. If you're passionate about Airflow and interested in building the future of data engineering, please get in touch. You can check our current job postings at careers.astronomer.io, but we're constantly updating our listings to accommodate new hiring needs. Please feel free to email me directly at pete@astronomer.io if you're passionate about what we're doing and think you'd be a good addition to the team. Mentioned Resources: Careers: https://careers.astronomer.io Guest Profile: Ben Wisegarver: https://www.linkedin.com/in/ben-wisegarver-54566576
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39 episodios
Expanding the Data Engineering Toolkit at Reddit
The Data Flowcast: Mastering Airflow for Data Engineering & AI
MP3•Episodio en casa
Manage episode 284124796 series 2053958
Contenido proporcionado por The Data Flowcast. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The Data Flowcast o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Welcome back to the Airflow Podcast. This week, we met up with Ben Wisegarver, a staff data scientist at Reddit who runs their data warehousing and data engineering functions. Reddit users generate petabytes of data every day that needs to be processed, stored, and analyzed by a wide breadth of backend services. Our conversation with Ben touches on everything from Airflow as a tool for career mobility across the data stack to scaling out a self-service data architecture across many teams. For folks interested, our team at Astronomer is growing rapidly and we're on the hunt for new folks to join in a variety of different roles. If you're passionate about Airflow and interested in building the future of data engineering, please get in touch. You can check our current job postings at careers.astronomer.io, but we're constantly updating our listings to accommodate new hiring needs. Please feel free to email me directly at pete@astronomer.io if you're passionate about what we're doing and think you'd be a good addition to the team. Mentioned Resources: Careers: https://careers.astronomer.io Guest Profile: Ben Wisegarver: https://www.linkedin.com/in/ben-wisegarver-54566576
…
continue reading
39 episodios
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