The main difference between traditional data science and the demands for IoT are generated by the real-time factor. The high signal rates of discrete observations need to be aggregated to take on the spot decisions. The two dimensions that add complexity to this problem are the need to streamline data management and compress a massive amount of data coming from various sensors.