122 Epizód

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

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

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

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

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

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

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

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

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

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

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

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

    Közzétéve: 2018. 08. 28.
  13. #029 A New Mission

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

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

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

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

    Közzétéve: 2018. 05. 15.
  18. BI vs Data Science vs Big Data

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

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

    Közzétéve: 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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