Build data processing platforms that can take on even the hardest of your data troubles!
About This Video
This highly practical tutorial shows you how to use the best of the big data technologies to solve your response-critical problems
Learn the art of making cheap-yet-effective big data architecture without using complex Greek-letter architectures
Use this easy-to-follow video to build fast data processing systems for your organization
SMACK is an open source full stack for big data architecture. It is a combination of Spark, Mesos, Akka, Cassandra, and Kafka. This stack is the newest technique developers have begun to use to tackle 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 off with an introduction to SMACK and show you when to use it. First you’ll get to grips with functional thinking and problem solving using Scala. Next you’ll come to understand the Akka architecture. 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’ll grasp the high throughput distributed messaging systems using Apache Kafka. We’ll show you how to build a cheap but effective cluster infrastructure with Apache Mesos. Finally, you will deep dive into the different 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 effective and fast data processing.