Plumbers of Data Science
A podcast by Andreas Kretz
Categories:
94 Episodes
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#033 How APIs Rule The World
Published: 3/09/2018 -
#032 How to Design Security Zones and Lambda Architecture
Published: 30/08/2018 -
#031 IT Networking Infrastructure and Linux
Published: 29/08/2018 -
#030 Why the hardware and the GPU is super important
Published: 28/08/2018 -
#029 A New Mission
Published: 27/08/2018 -
4 Vs Of Big Data Are Enough!
Published: 23/05/2018 -
Why Companies Badly Need Data Scientists And Engineers
Published: 18/05/2018 -
What You Need To Know About Data Engineering
Published: 16/05/2018 -
I'm a Big Data Engineer and it's Super Awesome!
Published: 15/05/2018 -
BI vs Data Science vs Big Data
Published: 4/04/2018 -
How Much Big Data Do You Need To Learn As A Data Scientist?
Published: 20/03/2018 -
Working With Time Series Data And Missing Values
Published: 16/03/2018 -
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
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