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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

Study case: The Calliope project


In Greek mythology, Calliope (/kəˈlaɪ.əpiː/ kə-ly-ə-pee; Ancient Greek: Καλλιόπη Kalliopē "beautiful-voiced") was the muse of epic poetry. Calliope was the daughter of Zeus and Mnemosyne, and is believed she was the muse of the poet Homer who inspired the Odyssey and the Iliad.

Calliope is the bridge between Cassandra and Spark that allows us to create fast real-time data apps with ease. Calliope is a library that provides an interface to consume Cassandra data into Spark and vice versa; and to store Spark Resilient Distributed Datasets into Cassandra. As we saw, we can use Spark on Cassandra without Calliope, but Calliope make it all easier.

Calliope was started by Tuplejump Inc in 2013, when there was no other solution available to work with Cassandra Data in Spark. In 2014 Tuplejump worked on the core stabilization while Calliope was adopted and deployed at many organizations.

Installing Calliope

To use the Calliope jar from the Spark shell, add this jar to...

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