Course Outline

Introduction

SMACK Stack Overview

  • What is Apache Spark? Apache Spark features
  • What is Apache Mesos? Apache Mesos features
  • What is Apache Akka? Apache Akka features
  • What is Apache Cassandra? Apache Cassandra features
  • What is Apache Kafka? Apache Kafka features

Scala Language

  • Scala syntax and structure
  • Scala control flow

Preparing the Development Environment

  • Installing and configuring the SMACK stack
  • Installing and configuring Docker

Apache Akka

  • Using actors

Apache Cassandra

  • Creating a database for read operations
  • Working with backups and recovery

Connectors

  • Creating a stream
  • Building an Akka application
  • Storing data with Cassandra
  • Reviewing connectors

Apache Kafka

  • Working with clusters
  • Creating, publishing, and consuming messages

Apache Mesos

  • Allocating resources
  • Running clusters
  • Working with Apache Aurora and Docker
  • Running services and jobs
  • Deploying Spark, Cassandra, and Kafka on Mesos

Apache Spark

  • Managing data flows
  • Working with RDDs and dataframes
  • Performing data analysis

Troubleshooting

  • Handling failure of services and errors

Summary and Conclusion

Requirements

  • An understanding of data processing systems

Audience

  • Data Scientists
 14 Hours

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