This webinar will provide a blueprint for a predictive system using a number of bespoken open-source high available, resilient and distributed technologies: Spark, Mesos, Akka, Cassandra, Kafka, which go together as the "SMACK" stack.
After briefly highlighting the characteristics of each component, we will move on connecting the part in order to build a predictive system: a machine learning module, an event processing scoring module , and a data store implemented using Spark, Akka, and Cassandra, respectively.
In this webinar you will learn about the SMACK stack, as well as how to:
-Determine when to use batch, microbatch and event data processing
-Deploy Kafka to publish and consume events
-Compute fast/big data streams using Spark, and Akka
-Deploy Cassandra to persist events as well as machine learning models