Plumbers of Data Science

Un pódcast de Andreas Kretz

Categorías:

118 Episodo

  1. #29 Recruiting is harder than I thought

    Publicado: 4/11/2024
  2. #28 Freelancing as a Data Engineer - Hero Talk with the "Seattle Data Guy" Ben Rogojan

    Publicado: 25/10/2024
  3. #27 We Are Starting a Recruiting Service!

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

    Publicado: 23/9/2024
  5. #25 His Career Started With a Bootcamp & Now He Helps Others Succeed - Hero Talk w/ Mezue Obi-Eyis

    Publicado: 20/9/2024
  6. #24 Dirty Data & Data Cleaning - Hero Talk with "The Classification Guru" Susan Walsh

    Publicado: 16/9/2024
  7. #23 A Deep Dive Into APIs, IoT, and Data Storage - Hero Talk with Paolo Lulli

    Publicado: 9/9/2024
  8. #22 Why testing data pipelines can be so challenging - and how to tackle it

    Publicado: 6/9/2024
  9. #21 Is This the Synthetic Data Revolution?! Hero Talk with Mario Scriminaci from Mostly AI

    Publicado: 2/9/2024
  10. #20 Bootcamps vs Coaching

    Publicado: 30/8/2024
  11. #19 Why your data and goals matter more than tools!

    Publicado: 23/8/2024
  12. #18 Why Apache Spark Is Such An Essential Skill - Hero Talk with Philipp Brunenberg

    Publicado: 19/8/2024
  13. #17 The Future of Data Observability - Hero Talk with Ryan Yackel

    Publicado: 12/8/2024
  14. #16 Should You Move to Germany for a Data Engineering Career?

    Publicado: 9/8/2024
  15. #15 Personal Branding in Data - Hero Talk with Kate Strachnyi

    Publicado: 5/8/2024
  16. #14 The Secret Why Time Series Databases Are Awesome - Hero Talk with Jeff Tao

    Publicado: 2/8/2024
  17. #13 From India to the U.S.: Becoming a Data Engineer at Toyota - Hero Talk with Ayan Tiwari

    Publicado: 29/7/2024
  18. #12 Data Tools & Platforms: Why you should always be skeptical

    Publicado: 26/7/2024
  19. #11 GenAI from a Data Engineer's perspective - Hero Talk with Vinoth Nageshwaran

    Publicado: 22/7/2024
  20. #10 Why Excel should be a go-to tool for data professionals

    Publicado: 19/7/2024

1 / 6

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

Visit the podcast's native language site