Plumbers of Data Science
En podcast af Andreas Kretz
Kategorier:
94 Episoder
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#033 How APIs Rule The World
Udgivet: 3.9.2018 -
#032 How to Design Security Zones and Lambda Architecture
Udgivet: 30.8.2018 -
#031 IT Networking Infrastructure and Linux
Udgivet: 29.8.2018 -
#030 Why the hardware and the GPU is super important
Udgivet: 28.8.2018 -
#029 A New Mission
Udgivet: 27.8.2018 -
4 Vs Of Big Data Are Enough!
Udgivet: 23.5.2018 -
Why Companies Badly Need Data Scientists And Engineers
Udgivet: 18.5.2018 -
What You Need To Know About Data Engineering
Udgivet: 16.5.2018 -
I'm a Big Data Engineer and it's Super Awesome!
Udgivet: 15.5.2018 -
BI vs Data Science vs Big Data
Udgivet: 4.4.2018 -
How Much Big Data Do You Need To Learn As A Data Scientist?
Udgivet: 20.3.2018 -
Working With Time Series Data And Missing Values
Udgivet: 16.3.2018 -
Don't Be Arrogant The Cloud is Safer Then Your On-Premise
Udgivet: 15.3.2018 -
Hadoop For Data Scientists An Introduction
Udgivet: 13.3.2018 -
Three Methods of Streaming Data
Udgivet: 9.3.2018 -
Dirty Data, Unicorn Scientists
Udgivet: 26.2.2018 -
DS Office Hours Nr. 3
Udgivet: 9.2.2018 -
NoSQL Vs SQL How To Choose
Udgivet: 9.2.2018 -
Creating A Gaming-AI-Bot
Udgivet: 5.2.2018 -
Loosing $$ With Data Science
Udgivet: 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