Plumbers of Data Science

En podcast av Andreas Kretz

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118 Avsnitt

  1. #29 Recruiting is harder than I thought

    Publicerades: 2024-11-04
  2. #28 Freelancing as a Data Engineer - Hero Talk with the "Seattle Data Guy" Ben Rogojan

    Publicerades: 2024-10-25
  3. #27 We Are Starting a Recruiting Service!

    Publicerades: 2024-10-18
  4. #26 Data Modeling is F***ing Easy!

    Publicerades: 2024-09-23
  5. #25 His Career Started With a Bootcamp & Now He Helps Others Succeed - Hero Talk w/ Mezue Obi-Eyis

    Publicerades: 2024-09-20
  6. #24 Dirty Data & Data Cleaning - Hero Talk with "The Classification Guru" Susan Walsh

    Publicerades: 2024-09-16
  7. #23 A Deep Dive Into APIs, IoT, and Data Storage - Hero Talk with Paolo Lulli

    Publicerades: 2024-09-09
  8. #22 Why testing data pipelines can be so challenging - and how to tackle it

    Publicerades: 2024-09-06
  9. #21 Is This the Synthetic Data Revolution?! Hero Talk with Mario Scriminaci from Mostly AI

    Publicerades: 2024-09-02
  10. #20 Bootcamps vs Coaching

    Publicerades: 2024-08-30
  11. #19 Why your data and goals matter more than tools!

    Publicerades: 2024-08-23
  12. #18 Why Apache Spark Is Such An Essential Skill - Hero Talk with Philipp Brunenberg

    Publicerades: 2024-08-19
  13. #17 The Future of Data Observability - Hero Talk with Ryan Yackel

    Publicerades: 2024-08-12
  14. #16 Should You Move to Germany for a Data Engineering Career?

    Publicerades: 2024-08-09
  15. #15 Personal Branding in Data - Hero Talk with Kate Strachnyi

    Publicerades: 2024-08-05
  16. #14 The Secret Why Time Series Databases Are Awesome - Hero Talk with Jeff Tao

    Publicerades: 2024-08-02
  17. #13 From India to the U.S.: Becoming a Data Engineer at Toyota - Hero Talk with Ayan Tiwari

    Publicerades: 2024-07-29
  18. #12 Data Tools & Platforms: Why you should always be skeptical

    Publicerades: 2024-07-26
  19. #11 GenAI from a Data Engineer's perspective - Hero Talk with Vinoth Nageshwaran

    Publicerades: 2024-07-22
  20. #10 Why Excel should be a go-to tool for data professionals

    Publicerades: 2024-07-19

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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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