A simple introduction how to do data science in the context of the internet of things. 

A look into how CERN is doing Data Engineering. They get huge amounts of data from the Large Hydron Colider. Let's check it out.

A look into how booking.com is doing data engineering.

A look into how Airbnb is doing Data Engineering.

How Netflix is doing Data Engineering using their Keystone platform

I decided to rework the cookbook focusing more on case studies and less on explaining tools.

People keep asking me for a path to become a data engineer and, let's be honest, you will never achieve that with just knowledge of the tools.

Finding out how companies do data engineering on their data science platforms is way more useful.

Over the next weeks we will go over each study on my YouTube channel. The stuff we talk about will then go into the cookbook too.

A Introduction into Hadoop HDFS, YARN and MapReduce. 

Yes, Hadoop is still relevant in 2019 even if you look into serverless tools. 

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

Join me on a 50 minute dive into the Siemens Mindsphere online documentation.

 I have to say I was super unimpressed by what I found. 

Many limitations, unclear architecture and no pricing available? 

Not good!

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 Engineering and Big Data.

It's called, you guessed it, Plumbers of Data Science.