Plumbers of Data Science
En podcast af Andreas Kretz
Kategorier:
94 Episoder
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#055 Data Warehouse vs Data Lake
Udgivet: 27.5.2019 -
#054 How to Market Yourself in 2019 Student or Professional
Udgivet: 27.5.2019 -
#053 The Data Science Depression Is Coming? What You Can Do
Udgivet: 27.5.2019 -
#052 Data Engineering Cookbook Live Stream
Udgivet: 27.5.2019 -
#051 Five Books To Buy As A Data Engineer & My Book Buying Strategy
Udgivet: 27.5.2019 -
#050 Data Engineer Scientist or Analyst Which One Is For You?
Udgivet: 27.5.2019 -
#049 I Found A REAL Use For Blockchain, At Least I thought So
Udgivet: 27.5.2019 -
#048 From Wannabe Data Scientist To Engineer My Journey
Udgivet: 27.5.2019 -
#047 The Truth About Data Science Salary For Graduates
Udgivet: 27.5.2019 -
#046 How To Use GitHub for LaTeX Version Control
Udgivet: 27.5.2019 -
#045 Why I Use LaTeX to Write Professionally And You Should Too
Udgivet: 7.12.2018 -
#044 How to Increase Your Chances for Internships or a Full-time Job
Udgivet: 27.11.2018 -
#041 Agile Development Is Important But Please Don't Do Scrum
Udgivet: 18.10.2018 -
#040 Huge Big Data News! Cloudera and Hortonworks Merge
Udgivet: 9.10.2018 -
#039 Is ETL Dead For Data Science and Big Data?
Udgivet: 3.10.2018 -
#38 Morning advice to beginner Data Scientists and Data Engineers
Udgivet: 27.9.2018 -
#037 How To Boost Teamwork With Version Control
Udgivet: 12.9.2018 -
#036 Why Distributed Processing Is Super Important
Udgivet: 10.9.2018 -
#035 Learning By Doing Is The Best Thing Ever!
Udgivet: 6.9.2018 -
#034 Talent Stacks For Data Engineers
Udgivet: 4.9.2018
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