122 Avsnitt

  1. #041 Agile Development Is Important But Please Don't Do Scrum

    Publicerades: 2018-10-18
  2. #040 Huge Big Data News! Cloudera and Hortonworks Merge

    Publicerades: 2018-10-09
  3. #039 Is ETL Dead For Data Science and Big Data?

    Publicerades: 2018-10-03
  4. #38 Morning advice to beginner Data Scientists and Data Engineers

    Publicerades: 2018-09-27
  5. #037 How To Boost Teamwork With Version Control

    Publicerades: 2018-09-12
  6. #036 Why Distributed Processing Is Super Important

    Publicerades: 2018-09-10
  7. #035 Learning By Doing Is The Best Thing Ever!

    Publicerades: 2018-09-06
  8. #034 Talent Stacks For Data Engineers

    Publicerades: 2018-09-04
  9. #033 How APIs Rule The World

    Publicerades: 2018-09-03
  10. #032 How to Design Security Zones and Lambda Architecture

    Publicerades: 2018-08-30
  11. #031 IT Networking Infrastructure and Linux

    Publicerades: 2018-08-29
  12. #030 Why the hardware and the GPU is super important

    Publicerades: 2018-08-28
  13. #029 A New Mission

    Publicerades: 2018-08-27
  14. 4 Vs Of Big Data Are Enough!

    Publicerades: 2018-05-23
  15. Why Companies Badly Need Data Scientists And Engineers

    Publicerades: 2018-05-18
  16. What You Need To Know About Data Engineering

    Publicerades: 2018-05-16
  17. I'm a Big Data Engineer and it's Super Awesome!

    Publicerades: 2018-05-15
  18. BI vs Data Science vs Big Data

    Publicerades: 2018-04-04
  19. How Much Big Data Do You Need To Learn As A Data Scientist?

    Publicerades: 2018-03-20
  20. Working With Time Series Data And Missing Values

    Publicerades: 2018-03-16

5 / 7

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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