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Key benefits

*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

Description

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.

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

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

Frequently bought together

$36.99

Frank Kane's Taming Big Data with Apache Spark and Python

$43.99

Fast Data Processing Systems with SMACK Stack

$54.99

Total $ 135.97

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Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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Sumit Pal Feb 10, 2017

This is an extremely useful book from an author of high pedigree. This book covers each of the associated topics of the SMACK stack, with coverage both in width and depth.Each chapter very well organized and written with excellent diagrams explaining complex concepts and architectural underpinnings with working code.Book is useful for someone at the intermediate and advanced level OR even for someone who wants to get their feet wet with the associated technologies in the SMACK space.The book is useful from a practical hands on experience as well as experience from an Architectural perspective as to where each of the components fit and the associated architectural and desgn trade-offs.

Amazon Verified review

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!

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