Plumbers of Data Science
A podcast by Andreas Kretz
Categories:
118 Episodes
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#079 Trying to stay true to myself and making the cookbook public on GitHub
Published: 5/27/2019 -
#078 Cookbook collaboration and updates
Published: 5/27/2019 -
#077 Lambda and Kappa Architecture
Published: 5/27/2019 -
#076 Cloud vs On Premise How To Decide
Published: 5/27/2019 -
#075 Creating the Course Structure For My Data Engineering Course
Published: 5/27/2019 -
#074 Starting My Data Engineering Online Course
Published: 5/27/2019 -
#073 Data Engineering At LinkedIn Case Study
Published: 5/27/2019 -
#072 Data Engineering At Twitter Case Study
Published: 5/27/2019 -
#071 Data Engineering At Spotify Case Study
Published: 5/27/2019 -
#070 The Engineering Culture At Spotify
Published: 5/27/2019 -
#069 Data Engineering At Pinterest Case Study
Published: 5/27/2019 -
#068 A Budget Data Science PC Build
Published: 5/27/2019 -
#067 Data Engineering At NASA Case Study
Published: 5/27/2019 -
#066 How To Do Data Science From A Data Engineers Perspective
Published: 5/27/2019 -
#065 Data Engineering At CERN Case Study
Published: 5/27/2019 -
#064 Data Engineering At Booking.com Case Study
Published: 5/27/2019 -
#063 Data Engineering At Airbnb Case Study
Published: 5/27/2019 -
#062 Data Engineering At Netflix Case Study
Published: 5/27/2019 -
#061 Reworking My Cookbook For Data Engineering
Published: 5/27/2019 -
#060 What Is Hadoop And Is Hadoop Still Relevant In 2019?
Published: 5/27/2019
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