Summary

This chapter was a brief introduction to data analytics for IoT in the cloud and in the fog. Data analytics is where the value is extracted out of the sea of data produced by millions or billions of sensors. Analytics is the realm of the data scientist in attempts to find the hidden patterns and develop predictions from an overwhelming amount of data. To be valuable, all this analysis needs to be at or near real time to make life-critical decisions. One needs to understand the problem being solved, and the data necessary to reveal the solution. Only then can a data analysis pipeline be architected well. This chapter exposed several data analysis models as well as an introduction to the four relevant machine learning domains. These analytics tools are the heart of value in IoT to derive meaning from the nuances of massive amounts of data in real time. Machine learning models...