Common mistakes in big data architecture
There are often a lot of people in big data architecture that are often lacking knowledge in data science, so in my observation the most common mistakes in big data projects are not in technology, but in the following areas: Everything builds on one master model. The problem is that when you need accuracy you … Continue reading Common mistakes in big data architecture →