Raul Estrada

Fast Data Processing Systems with SMACK Stack (eBook, ePUB)

• Format: ePub

Produktbeschreibung

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.

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Produktdetails

• Verlag: Packt Publishing
• Seitenzahl: 376
• Erscheinungstermin: 22. Dezember 2016
• Englisch
• ISBN-13: 9781786468062
• Artikelnr.: 47400994

Autorenporträt

Raúl Estrada has been a programmer since 1996 and a Java developer since 2001. He loves functional languages like Scala, Elixir, Clojure, and Haskell. He also loves all topics related to computer science. With more than 14 years of experience in high availability and enterprise software, he has designed and implemented architectures since 2003. His specialization is in systems integration and he has participated in projects mainly related to the financial sector. He has been an enterprise architect for BEA Systems and Oracle Inc., but he also enjoys mobile programming and game development. He considers himself a programmer before an architect, engineer, or developer.Raul is a supporter of free software, and enjoys experimenting with new technologies, frameworks, languages, and methods.