Plumbers of Data Science
A podcast by Andreas Kretz
Categorie:
118 Episodio
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#29 Recruiting is harder than I thought
Pubblicato: 04/11/2024 -
#28 Freelancing as a Data Engineer - Hero Talk with the "Seattle Data Guy" Ben Rogojan
Pubblicato: 25/10/2024 -
#27 We Are Starting a Recruiting Service!
Pubblicato: 18/10/2024 -
#26 Data Modeling is F***ing Easy!
Pubblicato: 23/09/2024 -
#25 His Career Started With a Bootcamp & Now He Helps Others Succeed - Hero Talk w/ Mezue Obi-Eyis
Pubblicato: 20/09/2024 -
#24 Dirty Data & Data Cleaning - Hero Talk with "The Classification Guru" Susan Walsh
Pubblicato: 16/09/2024 -
#23 A Deep Dive Into APIs, IoT, and Data Storage - Hero Talk with Paolo Lulli
Pubblicato: 09/09/2024 -
#22 Why testing data pipelines can be so challenging - and how to tackle it
Pubblicato: 06/09/2024 -
#21 Is This the Synthetic Data Revolution?! Hero Talk with Mario Scriminaci from Mostly AI
Pubblicato: 02/09/2024 -
#20 Bootcamps vs Coaching
Pubblicato: 30/08/2024 -
#19 Why your data and goals matter more than tools!
Pubblicato: 23/08/2024 -
#18 Why Apache Spark Is Such An Essential Skill - Hero Talk with Philipp Brunenberg
Pubblicato: 19/08/2024 -
#17 The Future of Data Observability - Hero Talk with Ryan Yackel
Pubblicato: 12/08/2024 -
#16 Should You Move to Germany for a Data Engineering Career?
Pubblicato: 09/08/2024 -
#15 Personal Branding in Data - Hero Talk with Kate Strachnyi
Pubblicato: 05/08/2024 -
#14 The Secret Why Time Series Databases Are Awesome - Hero Talk with Jeff Tao
Pubblicato: 02/08/2024 -
#13 From India to the U.S.: Becoming a Data Engineer at Toyota - Hero Talk with Ayan Tiwari
Pubblicato: 29/07/2024 -
#12 Data Tools & Platforms: Why you should always be skeptical
Pubblicato: 26/07/2024 -
#11 GenAI from a Data Engineer's perspective - Hero Talk with Vinoth Nageshwaran
Pubblicato: 22/07/2024 -
#10 Why Excel should be a go-to tool for data professionals
Pubblicato: 19/07/2024
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