Plumbers of Data Science

En podcast af Andreas Kretz

Kategorier:

94 Episoder

  1. #033 How APIs Rule The World

    Udgivet: 3.9.2018
  2. #032 How to Design Security Zones and Lambda Architecture

    Udgivet: 30.8.2018
  3. #031 IT Networking Infrastructure and Linux

    Udgivet: 29.8.2018
  4. #030 Why the hardware and the GPU is super important

    Udgivet: 28.8.2018
  5. #029 A New Mission

    Udgivet: 27.8.2018
  6. 4 Vs Of Big Data Are Enough!

    Udgivet: 23.5.2018
  7. Why Companies Badly Need Data Scientists And Engineers

    Udgivet: 18.5.2018
  8. What You Need To Know About Data Engineering

    Udgivet: 16.5.2018
  9. I'm a Big Data Engineer and it's Super Awesome!

    Udgivet: 15.5.2018
  10. BI vs Data Science vs Big Data

    Udgivet: 4.4.2018
  11. How Much Big Data Do You Need To Learn As A Data Scientist?

    Udgivet: 20.3.2018
  12. Working With Time Series Data And Missing Values

    Udgivet: 16.3.2018
  13. Don't Be Arrogant The Cloud is Safer Then Your On-Premise

    Udgivet: 15.3.2018
  14. Hadoop For Data Scientists An Introduction

    Udgivet: 13.3.2018
  15. Three Methods of Streaming Data

    Udgivet: 9.3.2018
  16. Dirty Data, Unicorn Scientists

    Udgivet: 26.2.2018
  17. DS Office Hours Nr. 3

    Udgivet: 9.2.2018
  18. NoSQL Vs SQL How To Choose

    Udgivet: 9.2.2018
  19. Creating A Gaming-AI-Bot

    Udgivet: 5.2.2018
  20. Loosing $$ With Data Science

    Udgivet: 31.1.2018

4 / 5

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

Visit the podcast's native language site