How to become a Chief Data Officer
The ultimate career goal of a Data Scientist or any other person in the Data industry would be to become a CDO – Chief Data Officer. But is it really […]
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The Data Hike
Errol and I had the idea of doing a “Data Hike” back in 2020. However, Covid Restrictions didn’t allow us to meet. So, both of us ended up hiking on […]
Which industry will Elon Musk disrupt next? My bet is on Telco’s
The last years have been exciting for Telco’s: 5G is the “next big thing” in communications. It promises us ultra-high speed with low latency. Our internet speed will never be […]
NumPY in Python Tutorial for Data Science
In my previous post, I gave an introduction to Python Libraries for Data Engineering and Data Science. In this post, we will have a first look at NumPy, one of […]
Data circle for domain driven data design
In some of my previous posts, I shared my thoughts on the data mesh architecture. The Data Mesh was originally introduced by Zhamak Dehghani in 2019 and is now enjoying […]
Data microservices: the architectural quantum
In my last post, I presented the concept of the data mesh. One thing that is often discussed in regards to the data mesh is how to make an agile […]
Data Mesh: the end of the Datalake (as we know it)
The datalake has been a significant design concept over the last years when we talked about big data and data processing. In recent month, a new concept – the data […]
For a FAIR data
Over the last months, I wrote several articles about data governance. One aspect of data governance is also the principle of FAIR data. FAIR in the context of data stands […]
Python Data Science Tutorial: Getting started
Python is one of the most used tools for Data Science. Since its incarnation, Python received a lot of attention from both Data Scientists and Data Engineers. In a modern […]
The frustrated Data Scientist
I am talking a lot to different people in my domain – either on conferences or as I know them personally. One thing most of them have in common is […]