| Description |
1 online resource (1 volume) : illustrations |
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text file PDF rda |
| Note |
Includes index. |
| 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. |
| Summary |
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. |
| Subject |
Spark (Electronic resource : Apache Software Foundation)
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Apache Mesos (Electronic resource)
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Akka (Electronic resource)
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Apache Cassandra.
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Apache Kafka.
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Apache Mesos (Electronic resource) |
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Apache Cassandra |
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Spark (Electronic resource : Apache Software Foundation) |
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Big data.
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Database management.
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Données volumineuses. |
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Bases de données -- Gestion. |
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Databases. |
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Algorithms & data structures. |
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Big data |
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Database management |
| Added Author |
Ruiz, Isaac.
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| Other Form: |
Print version: Estrada, Raul. Big data SMACK. ©2016 1484221745 9781484221747 (OCoLC)952787866 |
| ISBN |
9781484221754 |
|
1484221753 |
| Standard No. |
10.1007/978-1-4842-2175-4. doi |
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