Big data SMACK : a guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka /

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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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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Estrada, Raul (Author)
Other Authors: Ruiz, Isaac
Format: Electronic eBook
Language:Inglés
Published: [New York, New York] : Apress, [2016]
Subjects:
Spark (Electronic resource : Apache Software Foundation)
Apache Mesos (Electronic resource)
Akka (Electronic resource)
Apache Cassandra.
Apache Kafka.
Apache Cassandra
Big data.
Database management.
Données volumineuses.
Bases de données > Gestion.
Databases.
Algorithms & data structures.
Computers > Database Management > General.
Computers > Data Modeling & Design.
Big data
Database management
Online Access:Texto completo (Requiere registro previo con correo institucional)
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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