Plumbers of Data Science
A podcast by Andreas Kretz
Categories:
118 Episodes
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#037 How To Boost Teamwork With Version Control
Published: 9/12/2018 -
#036 Why Distributed Processing Is Super Important
Published: 9/10/2018 -
#035 Learning By Doing Is The Best Thing Ever!
Published: 9/6/2018 -
#034 Talent Stacks For Data Engineers
Published: 9/4/2018 -
#033 How APIs Rule The World
Published: 9/3/2018 -
#032 How to Design Security Zones and Lambda Architecture
Published: 8/30/2018 -
#031 IT Networking Infrastructure and Linux
Published: 8/29/2018 -
#030 Why the hardware and the GPU is super important
Published: 8/28/2018 -
#029 A New Mission
Published: 8/27/2018 -
4 Vs Of Big Data Are Enough!
Published: 5/23/2018 -
Why Companies Badly Need Data Scientists And Engineers
Published: 5/18/2018 -
What You Need To Know About Data Engineering
Published: 5/16/2018 -
I'm a Big Data Engineer and it's Super Awesome!
Published: 5/15/2018 -
BI vs Data Science vs Big Data
Published: 4/4/2018 -
How Much Big Data Do You Need To Learn As A Data Scientist?
Published: 3/20/2018 -
Working With Time Series Data And Missing Values
Published: 3/16/2018 -
Don't Be Arrogant The Cloud is Safer Then Your On-Premise
Published: 3/15/2018 -
Hadoop For Data Scientists An Introduction
Published: 3/13/2018 -
Three Methods of Streaming Data
Published: 3/9/2018 -
Dirty Data, Unicorn Scientists
Published: 2/26/2018
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