Plumbers of Data Science

A podcast by Andreas Kretz

Categories:

118 Episodes

  1. #079 Trying to stay true to myself and making the cookbook public on GitHub

    Published: 5/27/2019
  2. #078 Cookbook collaboration and updates

    Published: 5/27/2019
  3. #077 Lambda and Kappa Architecture

    Published: 5/27/2019
  4. #076 Cloud vs On Premise How To Decide

    Published: 5/27/2019
  5. #075 Creating the Course Structure For My Data Engineering Course

    Published: 5/27/2019
  6. #074 Starting My Data Engineering Online Course

    Published: 5/27/2019
  7. #073 Data Engineering At LinkedIn Case Study

    Published: 5/27/2019
  8. #072 Data Engineering At Twitter Case Study

    Published: 5/27/2019
  9. #071 Data Engineering At Spotify Case Study

    Published: 5/27/2019
  10. #070 The Engineering Culture At Spotify

    Published: 5/27/2019
  11. #069 Data Engineering At Pinterest Case Study

    Published: 5/27/2019
  12. #068 A Budget Data Science PC Build

    Published: 5/27/2019
  13. #067 Data Engineering At NASA Case Study

    Published: 5/27/2019
  14. #066 How To Do Data Science From A Data Engineers Perspective

    Published: 5/27/2019
  15. #065 Data Engineering At CERN Case Study

    Published: 5/27/2019
  16. #064 Data Engineering At Booking.com Case Study

    Published: 5/27/2019
  17. #063 Data Engineering At Airbnb Case Study

    Published: 5/27/2019
  18. #062 Data Engineering At Netflix Case Study

    Published: 5/27/2019
  19. #061 Reworking My Cookbook For Data Engineering

    Published: 5/27/2019
  20. #060 What Is Hadoop And Is Hadoop Still Relevant In 2019?

    Published: 5/27/2019

3 / 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