Book Image

Fast Data Processing Systems with SMACK Stack

By : Raúl Estrada
Book Image

Fast Data Processing Systems with SMACK Stack

By: Raúl Estrada

Overview of this book

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 guide 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 aspect of SMACK using a few case studies. By the end of the book, 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.
Table of Contents (15 chapters)
Fast Data Processing Systems with SMACK Stack
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface

Mesos containerizers


In this section we'll learn about containers and Docker. We will expose an overview of the options for Mesos containerizers. We'll also discuss advanced topics such as networking and cache.

Containers

A Linux container, for simplicity called simply container, is an environment to run applications with a common share of resources. As all the containers share the host machine operating system, their creation is very fast.

Container technology based on operating system virtualization has been around since 2004. In OS level virtualization the OS kernel creates many user containers.

The containers are individual encapsulated components running isolated instances on the same kernel. It's easy for the developer to just package the application and its dependencies into a container and deploy it in another environment.

In today's DevOps era, our portable applications are easy to update and move between environments. If we have a desktop development environment, the move to the production...