122 Avsnitt

  1. #103 From India to the U.S.: Becoming a Data Engineer at Toyota - Hero Talk with Ayan Tiwari

    Publicerades: 2024-07-29
  2. #102 Data Tools & Platforms: Why you should always be skeptical

    Publicerades: 2024-07-26
  3. #101 GenAI from a Data Engineer's perspective - Hero Talk with Vinoth Nageshwaran

    Publicerades: 2024-07-22
  4. #100 Why Excel should be a go-to tool for data professionals

    Publicerades: 2024-07-19
  5. #99 Real Talk on GenAI & Large Language Models - Hero Talk with Harpreet Sahota

    Publicerades: 2024-07-15
  6. #98 Are Job Guarantees a Scam?

    Publicerades: 2024-07-12
  7. #97 Data Science Career AMA! - Hero Talk with Andrew Jones

    Publicerades: 2024-07-05
  8. #96 Can GenAI be trusted?

    Publicerades: 2024-06-28
  9. #95 The Perfect CV for Switching Careers

    Publicerades: 2024-06-21
  10. #94 - Making less money to set yourself up for success?!

    Publicerades: 2024-06-14
  11. #93 Is the highest paying job the best?

    Publicerades: 2024-06-07
  12. #92 Is it impossible to get a Data Engineering job as a fresher?

    Publicerades: 2024-05-31
  13. #91 A New Beginning & All Successful Students Have This:

    Publicerades: 2024-05-31
  14. #90 Taylor McGrath - The Future of the Modern Data Stack

    Publicerades: 2023-01-25
  15. #89 Piyush Sachdeva - Getting Into Google After Eight Rejections from Amazon!

    Publicerades: 2023-01-16
  16. #88 - Wouter Trappers - How to Realize a Data Strategy Like a Pro!

    Publicerades: 2022-04-12
  17. #87 - Dhruba Borthakur - From Hadoop to real time analytics

    Publicerades: 2022-04-12
  18. #86 The Ultimate Data Engineering Introduction

    Publicerades: 2021-01-14
  19. #085 Big Data and Data Science Landscape plus trying to read Tweets with Nifi

    Publicerades: 2019-05-28
  20. #084 Behind the scenes: Audio podcast, free transcriptions and GitHub

    Publicerades: 2019-05-27

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Data Engineering is the plumbing of data science. Almost invisible, but super important and a big mess when done wrong. We talk about interesting Data Engineering trends and topics. I also train Data Engineering in my Data Engineering Academy at LearnDataEngineering.com

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