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 […]
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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 […]
Data Access and Search
Next to Data Security & Privacy as well as Data Quality Management, there is a huge importance in Data Access and Search. This topic focuses on finding and accessing data […]
Data Quality Management
We started our tutorial with a general intro to Data Governance and then went a bit deeper into data security and data privacy. In this post, we will have a […]
Data Security and Data Privacy
In our previous tutorial intro, we outlined the four pillars that are relevant to data governance. In this post, I will go for a deeper dive into the data security […]
What is Data Governance?
Everybody is talking about Data Science and Big Data, but one heavily ignored topic is Data Governance and Data Quality. Executives all over the world want to invest into doing […]