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Fast Data Processing Systems with SMACK Stack

You're reading from  Fast Data Processing Systems with SMACK Stack

Product type Book
Published in Dec 2016
Publisher Packt
ISBN-13 9781786467201
Pages 376 pages
Edition 1st Edition
Languages
Author (1):
Raúl Estrada Raúl Estrada
Profile icon Raúl Estrada

Table of Contents (15) Chapters

Fast Data Processing Systems with SMACK Stack
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
An Introduction to SMACK The Model - Scala and Akka The Engine - Apache Spark The Storage - Apache Cassandra The Broker - Apache Kafka The Manager - Apache Mesos Study Case 1 - Spark and Cassandra Study Case 2 - Connectors Study Case 3 - Mesos and Docker

Apache Cassandra installation


In Facebook laboratories, although not visible to the public, new software is developed, for example, the junction between two concepts involving the development departments of Google and Amazon. In short, Cassandra is defined as a distributed database. From the start, the authors undertook the task of creating a scalable database massively decentralized, optimized for read operations when possible, painlessly modifying data structures, and , for all this, not difficult to manage. The solution was found by combining two existing technologies: Google's BigTable and Amazon's Dynamo. One of the two authors, A. Lakshman, had earlier worked on BigTable and he borrowed the data model layout, while Dynamo contributed with the overall distributed architecture.

Cassandra is written in Java and for good performance it requires the latest possible JDK version. In Cassandra 1.0, they used another open source project Thrift for client access, which also came from Facebook...

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