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 […]
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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 […]
Master Data Management
In our last tutorial for Data Governance, we now look at Master Data Management. This is the last of our four pillars. Master Data is the core data in the […]