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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
Testimonials
Jorge was amazing- he is super knowledgeable and has a lot of Information to share.
Nadia Naidoo, Jembi Health Systems NPC
very interactive...
Richard Langford - Nadia Naidoo, Jembi Health Systems NPC
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