Plumbers of Data Science
A podcast by Andreas Kretz
Categories:
89 Episodes
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#90 Taylor McGrath - The Future of the Modern Data Stack
Published: 1/25/2023 -
#89 Piyush Sachdeva - Getting Into Google After Eight Rejections from Amazon!
Published: 1/16/2023 -
#88 - Wouter Trappers - How to Realize a Data Strategy Like a Pro!
Published: 4/12/2022 -
#87 - Dhruba Borthakur - From Hadoop to real time analytics
Published: 4/12/2022 -
#86 The Ultimate Data Engineering Introduction
Published: 1/14/2021 -
#085 Big Data and Data Science Landscape plus trying to read Tweets with Nifi
Published: 5/28/2019 -
#084 Behind the scenes: Audio podcast, free transcriptions and GitHub
Published: 5/27/2019 -
#083 Data Engineering at OLX Case Study
Published: 5/27/2019 -
#082 Reading Tweets With Apache Nifi & IaaS vs PaaS vs SaaS
Published: 5/27/2019 -
#081 How to get tweets from the Twitter API
Published: 5/27/2019 -
#080 How To Find A Job In Germany & Answering Mails
Published: 5/27/2019 -
#079 Trying to stay true to myself and making the cookbook public on GitHub
Published: 5/27/2019 -
#078 Cookbook collaboration and updates
Published: 5/27/2019 -
#077 Lambda and Kappa Architecture
Published: 5/27/2019 -
#076 Cloud vs On Premise How To Decide
Published: 5/27/2019 -
#075 Creating the Course Structure For My Data Engineering Course
Published: 5/27/2019 -
#074 Starting My Data Engineering Online Course
Published: 5/27/2019 -
#073 Data Engineering At LinkedIn Case Study
Published: 5/27/2019 -
#072 Data Engineering At Twitter Case Study
Published: 5/27/2019 -
#071 Data Engineering At Spotify Case Study
Published: 5/27/2019
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