Fast Data Processing Systems with SMACK Stack

Combine the incredible powers of Spark, Mesos, Akka, Cassandra, and Kafka to build data processing platforms that can take on even the hardest of your data troubles!

Key Features

• This highly practical guide 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 guide to build fast data processing systems for your organization

Book Description

What you will learn

• Design and implement a fast data Pipeline architecture
• Think and solve programming challenges in a functional way with Scala
• Learn to use Akka, the actors model implementation for the JVM
• Make on memory processing and data analysis with Spark to solve
• modern business demands
• Build a powerful and effective cluster infrastructure with Mesos and Docker
• Manage and consume unstructured and No-SQL data sources with Cassandra
• Consume and produce messages in a massive way with Kafka

Who this book is for

If you are a developer, data architect, or a data scientist looking for information on how to integrate the Big Data stack architecture and how to choose the correct technology in every layer, this book is what you are looking for.