What is the difference between SQL and NoSQL?

In this episode I show you on the example of HBase how a key/value store works. 

On this podcast I talk about data warehouses and data lakes.

When do people use which? What are the pros and cons of both?

Architecture examples for both and does it make sense to completely move to a data lake?

In this episode I talk about how you can gain a competitive edge on the job market. It's super simple, you can and should start with it TODAY by putting yourself out there. 

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

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 buying books complimentary to your work. And 5 great books I read over the years that helped me get where I am now.

In this podcast we talk about the differences between data scientists, analysts and engineers. Which are the three main data science jobs.

All three super important.

After all the BS solutions using Blockchain I thought I finally found one that makes sense. Of all the possibilities it's the EU data protection law GDPR. Well, one problem I overlooked in this podcast is, that it is impossible to delete data after it is in the chain. That's however a rule for GDPR.

So, I was wrong. Again :D

In this episode Kate Strachnyi interviews me for her humans of data science podcast. We talk about how I found out that I am more into the engineering part of data science. 

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

All over the internet you can find that Data Science salary is over 100k Dollars. Data Engineer or Data Scientist. It's way lower then that.

Then I give you a few really good tips on how to choose the right company to work for. Huge corporation, startup or small company? Here's how to choose.