To build analytics tools that provide faster insights, knowing how to process data in real time is a must, and moving from batch processing to stream processing is absolutely required. Fortunately, the Spark in-memory frameworkplatform for processing data has added an extension devoted to fault-tolerant stream processing: Spark Streaming.