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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Detalles Bibliográficos
Autores principales:	Estrada, Raul. author (author), Ruiz, Isaac. author
Formato:	Libro electrónico
Idioma:	Inglés
Publicado:	Berkeley, CA : Apress 2016.
Edición:	1st ed. 2016.
Materias:	Spark (Electronic resource : Apache Software Foundation) Apache Mesos (Electronic resource) Akka (Electronic resource) Apache Cassandra. Apache Kafka. Big data. Database management. Data structures (Computer science). Big Data. Database Management. Data Structures.
Ver en Biblioteca Universitat Ramon Llull:	https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629866006719

Tabla de Contenidos:

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.

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

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