Data-Frankenstein: Data Quality horror stories
Reading time: 2 min The hero of this story is a fictional character, any resemblance to reality is NOT accidental. The idea of this post is coming from a beer… Read more »
Reading time: 2 min The hero of this story is a fictional character, any resemblance to reality is NOT accidental. The idea of this post is coming from a beer… Read more »
Reading time: 2 min The mission of date warehouses (DWH) is to be the source of “undoubted” information. To have the “single version of truth” they operate with strict rules…. Read more »
Reading time: 2 min It is cool to be a data scientist. It is not clear from a short introduction that this attractive looking job is actually donkey work for… Read more »
Reading time: 2 min The managers of enterprise data warehouses (DWH) are carrying more and more responsibilities on their shoulders. As the processes of enterprises are more and more data… Read more »
Reading time: 2 min The elephant is said to be the most dangerous animal on the African Savanna. Nevertheless, the icon of the quasi standard Big Data processing tool Hadoop… Read more »
Reading time: 2 min What does a cow drink? Milk? What does a data analyst eat? Pie chart? The more important data analysis gets the more companies would like to… Read more »
Reading time: 2 min We are witnessing an interesting battle in huge enterprises. Managers on different levels have realized for a while that if they are the ones who access… Read more »
Reading time: 2 min Since I have been making my living from working with data for 15 years, I was frequently asked lately: “Should we be afraid of the trend… Read more »