Plumbers of Data Science

Un pódcast de Andreas Kretz

Categorías:

118 Episodo

  1. #037 How To Boost Teamwork With Version Control

    Publicado: 12/9/2018
  2. #036 Why Distributed Processing Is Super Important

    Publicado: 10/9/2018
  3. #035 Learning By Doing Is The Best Thing Ever!

    Publicado: 6/9/2018
  4. #034 Talent Stacks For Data Engineers

    Publicado: 4/9/2018
  5. #033 How APIs Rule The World

    Publicado: 3/9/2018
  6. #032 How to Design Security Zones and Lambda Architecture

    Publicado: 30/8/2018
  7. #031 IT Networking Infrastructure and Linux

    Publicado: 29/8/2018
  8. #030 Why the hardware and the GPU is super important

    Publicado: 28/8/2018
  9. #029 A New Mission

    Publicado: 27/8/2018
  10. 4 Vs Of Big Data Are Enough!

    Publicado: 23/5/2018
  11. Why Companies Badly Need Data Scientists And Engineers

    Publicado: 18/5/2018
  12. What You Need To Know About Data Engineering

    Publicado: 16/5/2018
  13. I'm a Big Data Engineer and it's Super Awesome!

    Publicado: 15/5/2018
  14. BI vs Data Science vs Big Data

    Publicado: 4/4/2018
  15. How Much Big Data Do You Need To Learn As A Data Scientist?

    Publicado: 20/3/2018
  16. Working With Time Series Data And Missing Values

    Publicado: 16/3/2018
  17. Don't Be Arrogant The Cloud is Safer Then Your On-Premise

    Publicado: 15/3/2018
  18. Hadoop For Data Scientists An Introduction

    Publicado: 13/3/2018
  19. Three Methods of Streaming Data

    Publicado: 9/3/2018
  20. Dirty Data, Unicorn Scientists

    Publicado: 26/2/2018

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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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