Plumbers of Data Science

A podcast by Andreas Kretz

Categories:

118 Episodes

  1. #037 How To Boost Teamwork With Version Control

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 2/26/2018

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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