118 Episodio

  1. #037 How To Boost Teamwork With Version Control

    Pubblicato: 12/09/2018
  2. #036 Why Distributed Processing Is Super Important

    Pubblicato: 10/09/2018
  3. #035 Learning By Doing Is The Best Thing Ever!

    Pubblicato: 06/09/2018
  4. #034 Talent Stacks For Data Engineers

    Pubblicato: 04/09/2018
  5. #033 How APIs Rule The World

    Pubblicato: 03/09/2018
  6. #032 How to Design Security Zones and Lambda Architecture

    Pubblicato: 30/08/2018
  7. #031 IT Networking Infrastructure and Linux

    Pubblicato: 29/08/2018
  8. #030 Why the hardware and the GPU is super important

    Pubblicato: 28/08/2018
  9. #029 A New Mission

    Pubblicato: 27/08/2018
  10. 4 Vs Of Big Data Are Enough!

    Pubblicato: 23/05/2018
  11. Why Companies Badly Need Data Scientists And Engineers

    Pubblicato: 18/05/2018
  12. What You Need To Know About Data Engineering

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

    Pubblicato: 15/05/2018
  14. BI vs Data Science vs Big Data

    Pubblicato: 04/04/2018
  15. How Much Big Data Do You Need To Learn As A Data Scientist?

    Pubblicato: 20/03/2018
  16. Working With Time Series Data And Missing Values

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

    Pubblicato: 15/03/2018
  18. Hadoop For Data Scientists An Introduction

    Pubblicato: 13/03/2018
  19. Three Methods of Streaming Data

    Pubblicato: 09/03/2018
  20. Dirty Data, Unicorn Scientists

    Pubblicato: 26/02/2018

5 / 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

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