Plumbers of Data Science
Un pódcast de Andreas Kretz
Categorías:
94 Episodo
-
#033 How APIs Rule The World
Publicado: 3/9/2018 -
#032 How to Design Security Zones and Lambda Architecture
Publicado: 30/8/2018 -
#031 IT Networking Infrastructure and Linux
Publicado: 29/8/2018 -
#030 Why the hardware and the GPU is super important
Publicado: 28/8/2018 -
#029 A New Mission
Publicado: 27/8/2018 -
4 Vs Of Big Data Are Enough!
Publicado: 23/5/2018 -
Why Companies Badly Need Data Scientists And Engineers
Publicado: 18/5/2018 -
What You Need To Know About Data Engineering
Publicado: 16/5/2018 -
I'm a Big Data Engineer and it's Super Awesome!
Publicado: 15/5/2018 -
BI vs Data Science vs Big Data
Publicado: 4/4/2018 -
How Much Big Data Do You Need To Learn As A Data Scientist?
Publicado: 20/3/2018 -
Working With Time Series Data And Missing Values
Publicado: 16/3/2018 -
Don't Be Arrogant The Cloud is Safer Then Your On-Premise
Publicado: 15/3/2018 -
Hadoop For Data Scientists An Introduction
Publicado: 13/3/2018 -
Three Methods of Streaming Data
Publicado: 9/3/2018 -
Dirty Data, Unicorn Scientists
Publicado: 26/2/2018 -
DS Office Hours Nr. 3
Publicado: 9/2/2018 -
NoSQL Vs SQL How To Choose
Publicado: 9/2/2018 -
Creating A Gaming-AI-Bot
Publicado: 5/2/2018 -
Loosing $$ With Data Science
Publicado: 31/1/2018
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