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Big Data SMACK : A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka

Integrate full-stack open-source fast data pipeline architecture and choose the correct technology—Spark, Mesos, Akka, Cassandra, and Kafka (SMACK)—in every layer. Fast data is becoming a requirement for many enterprises. So far, however, the focus has largely been on collecting, aggregating, and cr...

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Main Authors: Estrada, Raul, Ruiz, Isaac (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berkeley, CA Apress 2016, 2016
Edition:1st ed. 2016
Subjects:
Big Data
Database Management
Data Structures (computer Science)
Data Structures
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Part 1. Introduction
  • Chapter 1. Big Data, Big Problems
  • Chapter 2. Big Data, Big Solutions
  • Part 2. Playing SMACK
  • Chapter 3. The Language: Scala
  • Chapter 4. The Model: Akka
  • Chapter 5. Storage. Apache Cassandra
  • Chapter 6. The View
  • Chapter 7. The Manager: Apache Mesos
  • Chapter 8. The Broker: Apache Kafka
  • Part 3. Improving SMACK
  • Chapter 9. Fast Data Patterns
  • Chapter 10. Big Data Pipelines
  • Chapter 11. Glossary

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