Plumbers of Data Science

En podkast av Andreas Kretz

Kategorier:

94 Episoder

  1. #05 The Perfect CV for Switching Careers

    Publisert: 21.6.2024
  2. #04 - Making less money to set yourself up for success?!

    Publisert: 14.6.2024
  3. #03 Is the highest paying job the best?

    Publisert: 7.6.2024
  4. #02 Is it impossible to get a Data Engineering job as a fresher?

    Publisert: 31.5.2024
  5. #01 A New Beginning & All Successful Students Have This:

    Publisert: 31.5.2024
  6. #90 Taylor McGrath - The Future of the Modern Data Stack

    Publisert: 25.1.2023
  7. #89 Piyush Sachdeva - Getting Into Google After Eight Rejections from Amazon!

    Publisert: 16.1.2023
  8. #88 - Wouter Trappers - How to Realize a Data Strategy Like a Pro!

    Publisert: 12.4.2022
  9. #87 - Dhruba Borthakur - From Hadoop to real time analytics

    Publisert: 12.4.2022
  10. #86 The Ultimate Data Engineering Introduction

    Publisert: 14.1.2021
  11. #085 Big Data and Data Science Landscape plus trying to read Tweets with Nifi

    Publisert: 28.5.2019
  12. #084 Behind the scenes: Audio podcast, free transcriptions and GitHub

    Publisert: 27.5.2019
  13. #083 Data Engineering at OLX Case Study

    Publisert: 27.5.2019
  14. #082 Reading Tweets With Apache Nifi & IaaS vs PaaS vs SaaS

    Publisert: 27.5.2019
  15. #081 How to get tweets from the Twitter API

    Publisert: 27.5.2019
  16. #080 How To Find A Job In Germany & Answering Mails

    Publisert: 27.5.2019
  17. #079 Trying to stay true to myself and making the cookbook public on GitHub

    Publisert: 27.5.2019
  18. #078 Cookbook collaboration and updates

    Publisert: 27.5.2019
  19. #077 Lambda and Kappa Architecture

    Publisert: 27.5.2019
  20. #076 Cloud vs On Premise How To Decide

    Publisert: 27.5.2019

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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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