Plumbers of Data Science
A podcast by Andreas Kretz
118 Episodio
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#037 How To Boost Teamwork With Version Control
Pubblicato: 12/09/2018 -
#036 Why Distributed Processing Is Super Important
Pubblicato: 10/09/2018 -
#035 Learning By Doing Is The Best Thing Ever!
Pubblicato: 06/09/2018 -
#034 Talent Stacks For Data Engineers
Pubblicato: 04/09/2018 -
#033 How APIs Rule The World
Pubblicato: 03/09/2018 -
#032 How to Design Security Zones and Lambda Architecture
Pubblicato: 30/08/2018 -
#031 IT Networking Infrastructure and Linux
Pubblicato: 29/08/2018 -
#030 Why the hardware and the GPU is super important
Pubblicato: 28/08/2018 -
#029 A New Mission
Pubblicato: 27/08/2018 -
4 Vs Of Big Data Are Enough!
Pubblicato: 23/05/2018 -
Why Companies Badly Need Data Scientists And Engineers
Pubblicato: 18/05/2018 -
What You Need To Know About Data Engineering
Pubblicato: 16/05/2018 -
I'm a Big Data Engineer and it's Super Awesome!
Pubblicato: 15/05/2018 -
BI vs Data Science vs Big Data
Pubblicato: 04/04/2018 -
How Much Big Data Do You Need To Learn As A Data Scientist?
Pubblicato: 20/03/2018 -
Working With Time Series Data And Missing Values
Pubblicato: 16/03/2018 -
Don't Be Arrogant The Cloud is Safer Then Your On-Premise
Pubblicato: 15/03/2018 -
Hadoop For Data Scientists An Introduction
Pubblicato: 13/03/2018 -
Three Methods of Streaming Data
Pubblicato: 09/03/2018 -
Dirty Data, Unicorn Scientists
Pubblicato: 26/02/2018
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