Plumbers of Data Science

A podcast by Andreas Kretz

Categories:

89 Episodes

  1. #050 Data Engineer Scientist or Analyst Which One Is For You?

    Published: 5/27/2019
  2. #049 I Found A REAL Use For Blockchain, At Least I thought So

    Published: 5/27/2019
  3. #048 From Wannabe Data Scientist To Engineer My Journey

    Published: 5/27/2019
  4. #047 The Truth About Data Science Salary For Graduates

    Published: 5/27/2019
  5. #046 How To Use GitHub for LaTeX Version Control

    Published: 5/27/2019
  6. #045 Why I Use LaTeX to Write Professionally And You Should Too

    Published: 12/7/2018
  7. #044 How to Increase Your Chances for Internships or a Full-time Job

    Published: 11/27/2018
  8. #041 Agile Development Is Important But Please Don't Do Scrum

    Published: 10/18/2018
  9. #040 Huge Big Data News! Cloudera and Hortonworks Merge

    Published: 10/9/2018
  10. #039 Is ETL Dead For Data Science and Big Data?

    Published: 10/3/2018
  11. #38 Morning advice to beginner Data Scientists and Data Engineers

    Published: 9/27/2018
  12. #037 How To Boost Teamwork With Version Control

    Published: 9/12/2018
  13. #036 Why Distributed Processing Is Super Important

    Published: 9/10/2018
  14. #035 Learning By Doing Is The Best Thing Ever!

    Published: 9/6/2018
  15. #034 Talent Stacks For Data Engineers

    Published: 9/4/2018
  16. #033 How APIs Rule The World

    Published: 9/3/2018
  17. #032 How to Design Security Zones and Lambda Architecture

    Published: 8/30/2018
  18. #031 IT Networking Infrastructure and Linux

    Published: 8/29/2018
  19. #030 Why the hardware and the GPU is super important

    Published: 8/28/2018
  20. #029 A New Mission

    Published: 8/27/2018

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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