Plumbers of Data Science
Un pódcast de Andreas Kretz
122 Episodo
-  #041 Agile Development Is Important But Please Don't Do ScrumPublicado: 18/10/2018
-  #040 Huge Big Data News! Cloudera and Hortonworks MergePublicado: 9/10/2018
-  #039 Is ETL Dead For Data Science and Big Data?Publicado: 3/10/2018
-  #38 Morning advice to beginner Data Scientists and Data EngineersPublicado: 27/9/2018
-  #037 How To Boost Teamwork With Version ControlPublicado: 12/9/2018
-  #036 Why Distributed Processing Is Super ImportantPublicado: 10/9/2018
-  #035 Learning By Doing Is The Best Thing Ever!Publicado: 6/9/2018
-  #034 Talent Stacks For Data EngineersPublicado: 4/9/2018
-  #033 How APIs Rule The WorldPublicado: 3/9/2018
-  #032 How to Design Security Zones and Lambda ArchitecturePublicado: 30/8/2018
-  #031 IT Networking Infrastructure and LinuxPublicado: 29/8/2018
-  #030 Why the hardware and the GPU is super importantPublicado: 28/8/2018
-  #029 A New MissionPublicado: 27/8/2018
-  4 Vs Of Big Data Are Enough!Publicado: 23/5/2018
-  Why Companies Badly Need Data Scientists And EngineersPublicado: 18/5/2018
-  What You Need To Know About Data EngineeringPublicado: 16/5/2018
-  I'm a Big Data Engineer and it's Super Awesome!Publicado: 15/5/2018
-  BI vs Data Science vs Big DataPublicado: 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 ValuesPublicado: 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
