Introduction to Data Quality

We’ve all heard the phrase “garbage in, garbage out” which highlights the importance of quality data for data-driven systems. Here, quality data can be interpreted in two ways: firstly as clean and well-standardized data that meets expectations, and secondly, as...

Written by:


Getting more value out of your data 

“Data is eating the world”, is a well-known variant on Mark Andreesen’s famous quote “Software is eating the world”. In our current output driven society everything is measured by an interpretation of a set of data, even by the people...


Big Data: Where to start?

The big data world is so big that it is humongous. Big data Engineer, Big data analyst, Big data scientist – Are these different names for the same role? It is all overwhelming to figure out which strand to take...