Plumbers of Data Science
A podcast by Andreas Kretz
122 Episodes
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Don't Be Arrogant The Cloud is Safer Then Your On-Premise
Published: 15/03/2018 -
Hadoop For Data Scientists An Introduction
Published: 13/03/2018 -
Three Methods of Streaming Data
Published: 9/03/2018 -
Dirty Data, Unicorn Scientists
Published: 26/02/2018 -
DS Office Hours Nr. 3
Published: 9/02/2018 -
NoSQL Vs SQL How To Choose
Published: 9/02/2018 -
Creating A Gaming-AI-Bot
Published: 5/02/2018 -
Loosing $$ With Data Science
Published: 31/01/2018 -
Swish Swedens Awesome Fintech
Published: 22/01/2018 -
Data Science Office Hours
Published: 18/01/2018 -
Gartner's Hype Cycle Explained
Published: 15/01/2018 -
How to Show That ML and AI Works
Published: 12/01/2018 -
Analytics on Edge Devices
Published: 11/01/2018 -
BigData and Catastrophic Success
Published: 8/01/2018 -
Machine Learning In Production
Published: 6/01/2018 -
Data Science VS Big Data
Published: 3/01/2018 -
Agriculture snd DS DailyKayy 004
Published: 3/01/2018 -
DS Preventing Insurance Fraud
Published: 15/12/2017 -
How Data Transforms Healthcare
Published: 12/12/2017 -
Learn Data Science Go Docker!
Published: 7/12/2017
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