Fast, Scalable Streaming Applications with MapR Streams, Spark Streaming, and MapR-DB

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 Streams (Kafka API), Apache Spark, and MapR-DB (HBase API), to rapidly ingest, process and store large volumes of high speed data.

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