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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 |
|---|---|
| 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) |
MARC
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| 035 | |a (OCoLC)971245754 |z (OCoLC)959953495 |z (OCoLC)1109079166 | ||
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| 082 | 0 | 4 | |a 005.7 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Estrada, Raul, |e author. | |
| 245 | 1 | 0 | |a Big data SMACK : |b a guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka / |c Raul Estrada, Isaac Ruiz. |
| 264 | 1 | |a [New York, New York] : |b Apress, |c [2016] | |
| 264 | 2 | |a New York, NY : |b Distributed by Springer Science+Business Media New York | |
| 264 | 4 | |c ©2016 | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 588 | 0 | |a Online resource; title from cover (viewed February 1, 2017). | |
| 500 | |a Includes index. | ||
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 630 | 0 | 0 | |a Spark (Electronic resource : Apache Software Foundation) |
| 630 | 0 | 0 | |a Apache Mesos (Electronic resource) |
| 630 | 0 | 0 | |a Akka (Electronic resource) |
| 630 | 0 | 0 | |a Apache Cassandra. |
| 630 | 0 | 0 | |a Apache Kafka. |
| 630 | 0 | 7 | |a Apache Mesos (Electronic resource) |2 fast |
| 630 | 0 | 7 | |a Apache Cassandra |2 fast |
| 630 | 0 | 7 | |a Spark (Electronic resource : Apache Software Foundation) |2 fast |
| 650 | 0 | |a Big data. | |
| 650 | 0 | |a Database management. | |
| 650 | 6 | |a Données volumineuses. | |
| 650 | 6 | |a Bases de données |x Gestion. | |
| 650 | 7 | |a Databases. |2 bicssc | |
| 650 | 7 | |a Algorithms & data structures. |2 bicssc | |
| 650 | 7 | |a Computers |x Database Management |x General. |2 bisacsh | |
| 650 | 7 | |a Computers |x Data Modeling & Design. |2 bisacsh | |
| 650 | 7 | |a Big data |2 fast | |
| 650 | 7 | |a Database management |2 fast | |
| 700 | 1 | |a Ruiz, Isaac. | |
| 776 | 0 | 8 | |i Print version: |a Estrada, Raul. |t Big data SMACK. |d ©2016 |z 1484221745 |z 9781484221747 |w (OCoLC)952787866 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781484221754/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a YBP Library Services |b YANK |n 13199322 | ||
| 994 | |a 92 |b IZTAP | ||