Plumbers of Data Science
En podcast av Andreas Kretz
122 Avsnitt
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#041 Agile Development Is Important But Please Don't Do Scrum
Publicerades: 2018-10-18 -
#040 Huge Big Data News! Cloudera and Hortonworks Merge
Publicerades: 2018-10-09 -
#039 Is ETL Dead For Data Science and Big Data?
Publicerades: 2018-10-03 -
#38 Morning advice to beginner Data Scientists and Data Engineers
Publicerades: 2018-09-27 -
#037 How To Boost Teamwork With Version Control
Publicerades: 2018-09-12 -
#036 Why Distributed Processing Is Super Important
Publicerades: 2018-09-10 -
#035 Learning By Doing Is The Best Thing Ever!
Publicerades: 2018-09-06 -
#034 Talent Stacks For Data Engineers
Publicerades: 2018-09-04 -
#033 How APIs Rule The World
Publicerades: 2018-09-03 -
#032 How to Design Security Zones and Lambda Architecture
Publicerades: 2018-08-30 -
#031 IT Networking Infrastructure and Linux
Publicerades: 2018-08-29 -
#030 Why the hardware and the GPU is super important
Publicerades: 2018-08-28 -
#029 A New Mission
Publicerades: 2018-08-27 -
4 Vs Of Big Data Are Enough!
Publicerades: 2018-05-23 -
Why Companies Badly Need Data Scientists And Engineers
Publicerades: 2018-05-18 -
What You Need To Know About Data Engineering
Publicerades: 2018-05-16 -
I'm a Big Data Engineer and it's Super Awesome!
Publicerades: 2018-05-15 -
BI vs Data Science vs Big Data
Publicerades: 2018-04-04 -
How Much Big Data Do You Need To Learn As A Data Scientist?
Publicerades: 2018-03-20 -
Working With Time Series Data And Missing Values
Publicerades: 2018-03-16
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