Plumbers of Data Science

Data Engineering is the plumbing of data science. Almost invisible, but super important and a big me

Episodes

Total: 118

The Internet of things is a huge deal. There are many platforms available. But, which one is actuall

A stream full of mediocre guitar playing and great Q&A about Hadoop. 

I have created a Medium Publication especially for us Plumbers of Data Science who work in Data Engi

What is the difference between SQL and NoSQL? In this episode I show you on the example of HBase how

On this podcast I talk about data warehouses and data lakes. When do people use which? What are the

In this episode I talk about how you can gain a competitive edge on the job market. It's super simpl

The Data Science Hype is still strong. Where's the industry going, towards a cliff? Here's what can

In this episode I show you the first version of my data engineering cookbook.

Getting a book and reading it cover to cover is useless. In this episode I show you my strategy of b

In this podcast we talk about the differences between data scientists, analysts and engineers. Which

After all the BS solutions using Blockchain I thought I finally found one that makes sense. Of all t

In this episode Kate Strachnyi interviews me for her humans of data science podcast. We talk about h

In this episode I show you how much data science graduates are actually payed in Germany. All over t

In this podcast I am showing you how I use GitHub to write my Data Engineering Cookbook with LaTex.

What is the best editing tool to write a thesis, a dissertation or a paper? NOT Word or Pages! It's

You have certifications or a university degree, but can't find a job? Sharing your ideas and knowled

I love agile development. People keep telling you to do Scrum, like it's the only and best choice to

So, Cloudera and Hortonworks merge... In today's Plumbers of Data Science Podcast I talk about what

Is ETL dead in Data Science and Big Data? In today's podcast I share with you my views on your quest

What's the difference between Data Scientists & Data Analysts? What to do to find internships or a f