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

Summary


In this chapter, we have seen the Mesos architecture. We also reviewed how Mesos makes the resource allocation, the DRF algorithm, and reviewed how to run Mesos on AWS and on a private data center.

We visited the most important Mesos frameworks: Marathon, Chronos, Aurora, and Singularity. We also reviewed the Frameworks API.

In the last section, we reviewed how to run Spark, Cassandra, and Kafka on Apache Mesos, also covered topics such as the setup, configuration, and management of these frameworks on a distributed infrastructure using Mesos.

I hope that this chapter has armed you with all the resources that you require to effectively manage the complexities of today's modern DevOps.

The following chapters show study cases, considering Mesos as an infrastructure technology. The examples not focused on Mesos assume you are already running on it.