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Designing A Data-Intensive Future • Martin Kleppmann & Jesse Anderson

28:36
 
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Contenido proporcionado por GOTO. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente GOTO 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.

This interview was recorded at GOTO Amsterdam for GOTO Unscripted.
http://gotopia.tech

Read the full transcription of this interview here

Martin Kleppmann - Researcher at the Technical University of Munich & Author of "Designing Data-Intensive Applications"
Jesse Anderson - Managing Director of Big Data Institute, Host of The Data Dream Team Podcast
RESOURCES
Jesse Anderson: https://youtu.be/cWSCI1LpoGY
Martin Kleppmann: https://youtu.be/esMjP-7jlRE
Prag. Dave Thomas: https://youtu.be/ug8XX2MpzEw
https://automerge.org

Martin
https://martin.kleppmann.com
https://twitter.com/martinkl
https://nondeterministic.computer/@martin
https://linkedin.com/in/martinkleppmann

Jesse
https://twitter.com/jessetanderson
https://www.jesse-anderson.com
https://sodapodcast.libsyn.com/site
https://linkedin.com/in/jessetanderson
https://www.jesse-anderson.com/category/blog

DESCRIPTION
Jesse Anderson, director at Big Data Institute, and Martin Kleppmann, author of "Designing Data-Intensive Applications" explore together the evolving data landscape. They start with the origins of Martin’s book, emphasizing the crucial art of asking the right questions. Martin unveils industry shifts since 2017, spotlighting the transformative rise of cloud services.
The conversation then takes a twist as Martin delves into academia, sharing insights on local-first collaboration software and the fascinating world of Automerge. Aspiring software engineers are treated with some advice on how to navigate the delicate balance between simplicity and adaptability.
The interview concludes with a glimpse into diverse career paths in the dynamic realm of data engineering, making it a must-watch for professionals at every stage of their journey.
RECOMMENDED BOOKS
Martin Kleppmann • Designing Data-Intensive Applications
Martin Kleppmann • Secret Colors: A Gentle Introduction to Cryptography
Jesse Anderson • Data Teams
Jesse Anderson • Data Engineering Teams
Jesse Anderson • The Ultimate Guide to Switching Careers to Big Data
Viktor Gamov, Dylan Scott & Dave Klein • Kafka in Action
Fabian Hueske & Vasiliki Kalavri • Stream Processing with Apache Flink

Twitter
Instagram
LinkedIn
Facebook
Looking for a unique learning experience?
Attend the next GOTO conference near you! Get your ticket: gotopia.tech
SUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

  continue reading

Capíttulos

1. Intro (00:00:00)

2. Evolution of data systems (00:02:40)

3. Embracing change & timeless principles in startups (00:12:57)

4. Local-first collaboration software (00:15:07)

5. Reflections on academia (00:17:25)

6. Advice for aspiring data engineers (00:26:08)

7. Outro (00:28:06)

180 episodios

Artwork
iconCompartir
 
Manage episode 401267006 series 2896766
Contenido proporcionado por GOTO. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente GOTO 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.

This interview was recorded at GOTO Amsterdam for GOTO Unscripted.
http://gotopia.tech

Read the full transcription of this interview here

Martin Kleppmann - Researcher at the Technical University of Munich & Author of "Designing Data-Intensive Applications"
Jesse Anderson - Managing Director of Big Data Institute, Host of The Data Dream Team Podcast
RESOURCES
Jesse Anderson: https://youtu.be/cWSCI1LpoGY
Martin Kleppmann: https://youtu.be/esMjP-7jlRE
Prag. Dave Thomas: https://youtu.be/ug8XX2MpzEw
https://automerge.org

Martin
https://martin.kleppmann.com
https://twitter.com/martinkl
https://nondeterministic.computer/@martin
https://linkedin.com/in/martinkleppmann

Jesse
https://twitter.com/jessetanderson
https://www.jesse-anderson.com
https://sodapodcast.libsyn.com/site
https://linkedin.com/in/jessetanderson
https://www.jesse-anderson.com/category/blog

DESCRIPTION
Jesse Anderson, director at Big Data Institute, and Martin Kleppmann, author of "Designing Data-Intensive Applications" explore together the evolving data landscape. They start with the origins of Martin’s book, emphasizing the crucial art of asking the right questions. Martin unveils industry shifts since 2017, spotlighting the transformative rise of cloud services.
The conversation then takes a twist as Martin delves into academia, sharing insights on local-first collaboration software and the fascinating world of Automerge. Aspiring software engineers are treated with some advice on how to navigate the delicate balance between simplicity and adaptability.
The interview concludes with a glimpse into diverse career paths in the dynamic realm of data engineering, making it a must-watch for professionals at every stage of their journey.
RECOMMENDED BOOKS
Martin Kleppmann • Designing Data-Intensive Applications
Martin Kleppmann • Secret Colors: A Gentle Introduction to Cryptography
Jesse Anderson • Data Teams
Jesse Anderson • Data Engineering Teams
Jesse Anderson • The Ultimate Guide to Switching Careers to Big Data
Viktor Gamov, Dylan Scott & Dave Klein • Kafka in Action
Fabian Hueske & Vasiliki Kalavri • Stream Processing with Apache Flink

Twitter
Instagram
LinkedIn
Facebook
Looking for a unique learning experience?
Attend the next GOTO conference near you! Get your ticket: gotopia.tech
SUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

  continue reading

Capíttulos

1. Intro (00:00:00)

2. Evolution of data systems (00:02:40)

3. Embracing change & timeless principles in startups (00:12:57)

4. Local-first collaboration software (00:15:07)

5. Reflections on academia (00:17:25)

6. Advice for aspiring data engineers (00:26:08)

7. Outro (00:28:06)

180 episodios

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