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Скачать или смотреть Designing A Data-Intensive Future: Expert Talk • Martin Kleppmann & Jesse Anderson • GOTO 2023

  • GOTO Conferences
  • 2023-12-12
  • 49018
Designing A Data-Intensive Future: Expert Talk • Martin Kleppmann & Jesse Anderson • GOTO 2023
GOTOGOTOconGOTO ConferenceGOTO (Software Conference)Videos for DevelopersComputer ScienceProgrammingSoftware EngineeringGOTOpiaTechSoftware DevelopmentTech ChannelTech ConferenceGOTOunscriptedGOTO UnscriptedMartin KleppmannJesse AndersonPrivacyCRDTLocal FirstAutomergeWebAppData ProjectData TeamData EngineeringExpert TalkStateful StreamApache KafkaApache Flink
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Описание к видео Designing A Data-Intensive Future: Expert Talk • Martin Kleppmann & Jesse Anderson • GOTO 2023

This interview was recorded at GOTO Amsterdam for GOTO Unscripted. #GOTOcon #GOTOunscripted #GOTOams
http://gotopia.tech

Read the full transcription of this interview here:
https://gotopia.tech/articles/284

Martin Kleppmann - Researcher at the Technical University of Munich & Author of "Designing Data-Intensive Applications" ‪@kleppmann‬
Jesse Anderson - Managing Director of Big Data Institute, Host of The Data Dream Team Podcast ‪@jessetanderson‬

RESOURCES
Jesse Anderson:    • Why Most Data Projects Fail & How to Avoid...  
Martin Kleppmann:    • Creating Local-First Collaboration Softwar...  
Prag. Dave Thomas:    • One Rule to Rule Them All • Pragmatic Dave...  
Kafka in Action:    • Kafka in Action • Viktor Gamov & Tim Bergl...  
Kasun Indrasiri:    • Cloud Native Event Streaming with Kafka & ...  
Kevlin & Sander:    • Simplicity & Complexity: The Beauty & the ...  
Eli & Mark:    • Unlocking the Web: Exploring WebAuthn & Be...  
Robert Metzger:    • Introduction to Stateful Stream Processing...  
Laura & Maureen:    • Kafka in the Wild • Laura Schornack & Maur...  
https://automerge.org

Martin
https://martin.kleppmann.com
  / martinkl  
https://nondeterministic.computer/@ma...
  / martinkleppmann  

Jesse
  / jessetanderson  
https://www.jesse-anderson.com
https://sodapodcast.libsyn.com/site
  / jessetanderson  
https://www.jesse-anderson.com/catego...

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.

TIMECODES
00:00 Intro
02:01 Evolution of data systems
12:18 Embracing change & timeless principles in startups
14:28 Local-first collaboration software
16:46 Reflections on academia
25:29 Advice for aspiring data engineers
27:29 Outro

RECOMMENDED BOOKS
Martin Kleppmann • Designing Data-Intensive Applications • https://amzn.to/3mk2Roj
Martin Kleppmann • Secret Colors: A Gentle Introduction to Cryptography • https://amzn.to/3PgAcyj
Jesse Anderson • Data Teams • https://amzn.to/3N0c2H7
Jesse Anderson • Data Engineering Teams • https://www.bigdatainstitute.io/data-...
Jesse Anderson • The Ultimate Guide to Switching Careers to Big Data • https://www.jesse-anderson.com/books
Viktor Gamov, Dylan Scott & Dave Klein • Kafka in Action • https://amzn.to/3CrB8KU
Fabian Hueske & Vasiliki Kalavri • Stream Processing with Apache Flink • https://amzn.to/41fNsss

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  / goto-  
  / goto_con  
  / gotoconferences  
#Privacy #CRDTs #Data #LocalFirst #Automerge #ApacheKafka #ApacheFlink #StatefulStream #WebApp #CloudvsLocalFirst #Peritext #Data #DataProject #DataTeams #DataEngineeringTeams #SoftwareEngineering #Programming #DataEngineering #JesseAnderson #MartinKleppmann

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