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

• Main Authors: Estrada, Raul (Author), Ruiz, Isaac (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2016.
• Subjects: Computer science.; Data structures (Computer science).; Database management.; Computer Science.; Big Data.; Database Management.; Data Structures.

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...

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.