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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
1. An Introduction to SMACK 2. The Model - Scala and Akka 3. The Engine - Apache Spark 4. The Storage - Apache Cassandra 5. The Broker - Apache Kafka 6. The Manager - Apache Mesos 7. Study Case 1 - Spark and Cassandra 8. Study Case 2 - Connectors 9. Study Case 3 - Mesos and Docker

Spark in single mode


Although Apache Spark cluster-based installations can become a complex task, when we integrate Mesos, Kafka, and Cassandra, the installation may become an interdisciplinary topic among engineers from: databases, telecommunications, operating systems, and infrastructure.

However, it's so easy to download and install Apache Spark on a laptop in standalone mode for learning and exploration that it has made many developers and data scientists become engaged by, and married to, the platform.

This low barrier to entry makes many small businesses capable of launching pilot projects without production systems interference, without requiring the construction of complex tools, and without hiring expensive expert technicians. As previously mentioned, Spark uses big data so nobody is left out.

Apache Spark is open source software and can be downloaded freely from the Apache foundation site. Spark requires at least Java version 6 and at least Maven version 3.0.4. All dependencies on...

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