Plumbers of Data Science
A podcast by Andreas Kretz
122 Episodes
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#041 Agile Development Is Important But Please Don't Do Scrum
Published: 18/10/2018 -
#040 Huge Big Data News! Cloudera and Hortonworks Merge
Published: 9/10/2018 -
#039 Is ETL Dead For Data Science and Big Data?
Published: 3/10/2018 -
#38 Morning advice to beginner Data Scientists and Data Engineers
Published: 27/09/2018 -
#037 How To Boost Teamwork With Version Control
Published: 12/09/2018 -
#036 Why Distributed Processing Is Super Important
Published: 10/09/2018 -
#035 Learning By Doing Is The Best Thing Ever!
Published: 6/09/2018 -
#034 Talent Stacks For Data Engineers
Published: 4/09/2018 -
#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
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