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Fast Data Processing Systems with SMACK Stack

Video Introducing this tutorial

Chapter 1: An Introduction to SMACK :
Modern data-processing challenges
The data-processing pipeline architecture
SMACK technologies
Changing the data center operations
Data expert profiles
Is SMACK for me?
Summary


Chapter 2: The Model - Scala and Akka :
The language - Scala
The model - Akka
Summary


Chapter 3: The Engine - Apache Spark :
Spark in single mode
Spark core concepts
Resilient distributed datasets
Spark in cluster mode
Spark Streaming
Summary


Chapter 4: The Storage - Apache Cassandra :
A bit of history
NoSQL
Apache Cassandra installation
Authentication and authorization (roles)
Backup
Recovery
Spark-Cassandra connector
Summary


Chapter 5: The Broker - Apache Kafka :
Introducing Kafka
Installation
Cluster
Architecture
Producers
Consumers
Integration
Administration
Summary


Chapter 6: The Manager - Apache Mesos :
The Apache Mesos architecture
Resource allocation
Running a Mesos cluster on AWS
Running a Mesos cluster on a private data center
Scheduling and management frameworks
Apache Aurora
Singularity
Apache Spark on Apache Mesos
Apache Cassandra on Apache Mesos
Apache Kafka on Apache Mesos
Summary


Chapter 7: Study Case 1 - Spark and Cassandra :
Spark Cassandra connector
Study case: The Calliope project
Summary


Chapter 8: Study Case 2 - Connectors :
Akka and Cassandra
Akka and Spark
Kafka and Akka
Kafka and Cassandra
Summary


Chapter 9: Study Case 3 - Mesos and Docker :
Mesos frameworks API
Spark Mesos run modes
Apache Mesos API
Mesos containerizers
Dockercontainerizers
Summary