Plumbers of Data Science

En podcast af Andreas Kretz

Kategorier:

94 Episoder

  1. #055 Data Warehouse vs Data Lake

    Udgivet: 27.5.2019
  2. #054 How to Market Yourself in 2019 Student or Professional

    Udgivet: 27.5.2019
  3. #053 The Data Science Depression Is Coming? What You Can Do

    Udgivet: 27.5.2019
  4. #052 Data Engineering Cookbook Live Stream

    Udgivet: 27.5.2019
  5. #051 Five Books To Buy As A Data Engineer & My Book Buying Strategy

    Udgivet: 27.5.2019
  6. #050 Data Engineer Scientist or Analyst Which One Is For You?

    Udgivet: 27.5.2019
  7. #049 I Found A REAL Use For Blockchain, At Least I thought So

    Udgivet: 27.5.2019
  8. #048 From Wannabe Data Scientist To Engineer My Journey

    Udgivet: 27.5.2019
  9. #047 The Truth About Data Science Salary For Graduates

    Udgivet: 27.5.2019
  10. #046 How To Use GitHub for LaTeX Version Control

    Udgivet: 27.5.2019
  11. #045 Why I Use LaTeX to Write Professionally And You Should Too

    Udgivet: 7.12.2018
  12. #044 How to Increase Your Chances for Internships or a Full-time Job

    Udgivet: 27.11.2018
  13. #041 Agile Development Is Important But Please Don't Do Scrum

    Udgivet: 18.10.2018
  14. #040 Huge Big Data News! Cloudera and Hortonworks Merge

    Udgivet: 9.10.2018
  15. #039 Is ETL Dead For Data Science and Big Data?

    Udgivet: 3.10.2018
  16. #38 Morning advice to beginner Data Scientists and Data Engineers

    Udgivet: 27.9.2018
  17. #037 How To Boost Teamwork With Version Control

    Udgivet: 12.9.2018
  18. #036 Why Distributed Processing Is Super Important

    Udgivet: 10.9.2018
  19. #035 Learning By Doing Is The Best Thing Ever!

    Udgivet: 6.9.2018
  20. #034 Talent Stacks For Data Engineers

    Udgivet: 4.9.2018

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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

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