Plumbers of Data Science
En podkast av Andreas Kretz
122 Episoder
-  #041 Agile Development Is Important But Please Don't Do ScrumPublisert: 18.10.2018
-  #040 Huge Big Data News! Cloudera and Hortonworks MergePublisert: 9.10.2018
-  #039 Is ETL Dead For Data Science and Big Data?Publisert: 3.10.2018
-  #38 Morning advice to beginner Data Scientists and Data EngineersPublisert: 27.9.2018
-  #037 How To Boost Teamwork With Version ControlPublisert: 12.9.2018
-  #036 Why Distributed Processing Is Super ImportantPublisert: 10.9.2018
-  #035 Learning By Doing Is The Best Thing Ever!Publisert: 6.9.2018
-  #034 Talent Stacks For Data EngineersPublisert: 4.9.2018
-  #033 How APIs Rule The WorldPublisert: 3.9.2018
-  #032 How to Design Security Zones and Lambda ArchitecturePublisert: 30.8.2018
-  #031 IT Networking Infrastructure and LinuxPublisert: 29.8.2018
-  #030 Why the hardware and the GPU is super importantPublisert: 28.8.2018
-  #029 A New MissionPublisert: 27.8.2018
-  4 Vs Of Big Data Are Enough!Publisert: 23.5.2018
-  Why Companies Badly Need Data Scientists And EngineersPublisert: 18.5.2018
-  What You Need To Know About Data EngineeringPublisert: 16.5.2018
-  I'm a Big Data Engineer and it's Super Awesome!Publisert: 15.5.2018
-  BI vs Data Science vs Big DataPublisert: 4.4.2018
-  How Much Big Data Do You Need To Learn As A Data Scientist?Publisert: 20.3.2018
-  Working With Time Series Data And Missing ValuesPublisert: 16.3.2018
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
 
 