Plumbers of Data Science

A podcast by Andreas Kretz

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94 Episodes

  1. #033 How APIs Rule The World

    Published: 3/09/2018
  2. #032 How to Design Security Zones and Lambda Architecture

    Published: 30/08/2018
  3. #031 IT Networking Infrastructure and Linux

    Published: 29/08/2018
  4. #030 Why the hardware and the GPU is super important

    Published: 28/08/2018
  5. #029 A New Mission

    Published: 27/08/2018
  6. 4 Vs Of Big Data Are Enough!

    Published: 23/05/2018
  7. Why Companies Badly Need Data Scientists And Engineers

    Published: 18/05/2018
  8. What You Need To Know About Data Engineering

    Published: 16/05/2018
  9. I'm a Big Data Engineer and it's Super Awesome!

    Published: 15/05/2018
  10. BI vs Data Science vs Big Data

    Published: 4/04/2018
  11. How Much Big Data Do You Need To Learn As A Data Scientist?

    Published: 20/03/2018
  12. Working With Time Series Data And Missing Values

    Published: 16/03/2018
  13. Don't Be Arrogant The Cloud is Safer Then Your On-Premise

    Published: 15/03/2018
  14. Hadoop For Data Scientists An Introduction

    Published: 13/03/2018
  15. Three Methods of Streaming Data

    Published: 9/03/2018
  16. Dirty Data, Unicorn Scientists

    Published: 26/02/2018
  17. DS Office Hours Nr. 3

    Published: 9/02/2018
  18. NoSQL Vs SQL How To Choose

    Published: 9/02/2018
  19. Creating A Gaming-AI-Bot

    Published: 5/02/2018
  20. Loosing $$ With Data Science

    Published: 31/01/2018

4 / 5

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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