Raul Estrada, Isaac Ruiz

Big Data SMACK (eBook, PDF)

A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka

• Format: PDF

Produktbeschreibung

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 crunching large data sets in a timely manner. In many cases organizations need more than one paradigm to perform efficient analyses.

Big Data SMACK explains each technology and, more importantly, how to integrate them. It provides detailed coverage of the practical benefits of these technologies and incorporates real-world examples. The book focuses on the problems and scenarios solved by the architecture, as well as the solutions provided by each technology. This book covers the five main concepts of data pipeline architecture and how to integrate, replace, and reinforce every layer:

• The engine: Apache Spark
• The container: Apache Mesos
The model: Akka<
• The storage: Apache Cassandra
• The broker: Apache Kafka

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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 264
• Erscheinungstermin: 29. September 2016
• Englisch
• ISBN-13: 9781484221754
• Artikelnr.: 46896350

Autorenporträt

Raúl Estrada is the co-founder of Treu Technologies, an enterprise for Social Data Marketing and BigData research. He is an Enterprise Architect with more than 15 years of experience in cluster management and Enterprise Software. Prior to founding Treu Technologies, Estrada worked as an Enterprise Architect in Application Servers & evangelist for Oracle Inc. He loves functional languages like Elixir and Scala, and also has a Master of Computer Science degree.

Isaac Ruiz has been a Java programmer since 2001, and a consultant and architect since 2003. He has participated in projects of different areas and varied scopes (education, communications, retail, and others). Ruiz specializes in systems integration and has participated in projects mainly related to the financial sector. He is a supporter of free software. Ruiz likes to experiment with new technologies (frameworks, languages, methods).

Inhaltsangabe

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.