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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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[New York, New York] :
Apress,
[2016]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
| Sumario: | 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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| Notas: | Includes index. |
| Descripción Física: | 1 online resource (1 volume) : illustrations |
| ISBN: | 9781484221754 1484221753 |