Fast, Scalable Streaming Applications with MapR Event Store, Spark Streaming, and MapR Database

Many of the systems we want to monitor happen as a stream of events, examples include event data from web or mobile applications, sensors, medical devices. What do we need to do to build a real time streaming application, and how do we do this with High Performance at Scale?

This Free Code Friday will help you get a jump-start on scaling distributed computing by taking an example time series application and coding through different aspects of working with such a dataset. We will cover building an end to end distributed processing pipeline using MapR Event Store (Formerly called MapR Streams) (Kafka API), Apache Spark, and MapR Database (HBase API), to rapidly ingest, process and store large volumes of high speed data.