Fast Data Processing Systems with SMACK stack

SMACK is an open source full stack for large data architecture. It is a combination of Spark, Mesos, Akka, Cassandra, and Kafka. This stack is the latest technology that developers have begun to use to deal with critical real-time analytics for big data. This highly practical tutorial will teach you how to integrate these technologies to create a highly efficient data analysis system for fast data processing. We’ll start with an introduction to SMACK and show you when to use it. First you’ll be grips with functional thinking and problem solving using Scala. Next you’ll come to understand the architecture of Akka. Then you’ll get to know how to improve the data structure architecture and optimize resources using Apache Spark. Moving forward, you’ll learn how to perform linear scalability in databases with Apache Cassandra. You will understand the high-throughput distributed messaging systems using Apache Kafka. We will show you how to build a cheap but efficient cluster infrastructure with Apache Mesos. Finally, you will deep dive into the various aspects of SMACK using 2 practical case studies. By the end of the video, you will be able to integrate all the components of the SMACK stack and use them together to achieve highly efficient and fast data processing.