In this chapter, we connected some of the dots between online machine learning and streaming data analysis. We introduced the Spark Streaming library and API for continuous processing of data streams based on familiar RDD functionality and we worked through examples of streaming analytics applications that illustrate this functionality.
Finally, we used ML Library's streaming regression model in a streaming application that involves computing and comparing model performance on a stream of input feature vectors.
