Plumbers of Data Science
Un podcast de Andreas Kretz
122 Épisodes
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#083 Data Engineering at OLX Case Study
Publié: 27/05/2019 -
#082 Reading Tweets With Apache Nifi & IaaS vs PaaS vs SaaS
Publié: 27/05/2019 -
#081 How to get tweets from the Twitter API
Publié: 27/05/2019 -
#080 How To Find A Job In Germany & Answering Mails
Publié: 27/05/2019 -
#079 Trying to stay true to myself and making the cookbook public on GitHub
Publié: 27/05/2019 -
#078 Cookbook collaboration and updates
Publié: 27/05/2019 -
#077 Lambda and Kappa Architecture
Publié: 27/05/2019 -
#076 Cloud vs On Premise How To Decide
Publié: 27/05/2019 -
#075 Creating the Course Structure For My Data Engineering Course
Publié: 27/05/2019 -
#074 Starting My Data Engineering Online Course
Publié: 27/05/2019 -
#073 Data Engineering At LinkedIn Case Study
Publié: 27/05/2019 -
#072 Data Engineering At Twitter Case Study
Publié: 27/05/2019 -
#071 Data Engineering At Spotify Case Study
Publié: 27/05/2019 -
#070 The Engineering Culture At Spotify
Publié: 27/05/2019 -
#069 Data Engineering At Pinterest Case Study
Publié: 27/05/2019 -
#068 A Budget Data Science PC Build
Publié: 27/05/2019 -
#067 Data Engineering At NASA Case Study
Publié: 27/05/2019 -
#066 How To Do Data Science From A Data Engineers Perspective
Publié: 27/05/2019 -
#065 Data Engineering At CERN Case Study
Publié: 27/05/2019 -
#064 Data Engineering At Booking.com Case Study
Publié: 27/05/2019
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