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Building a Predictive Engine using SMACK (Spark, Mesos, Akka, Cassandra, Kafka)

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
Recorded Jan 21 2016 47 mins
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Presented by
Natalino Busa, Enterprise Data Architect, ING
Presentation preview: Building a Predictive Engine using SMACK (Spark, Mesos, Akka, Cassandra, Kafka)

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Make smarter moves with your big data management
Make smarter moves with your big data management

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  • Title: Building a Predictive Engine using SMACK (Spark, Mesos, Akka, Cassandra, Kafka)
  • Live at: Jan 21 2016 12:00 pm
  • Presented by: Natalino Busa, Enterprise Data Architect, ING
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