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Big Data SMACK = A Guide to Apache S...
~
Estrada, Raul.
Big Data SMACK = A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Big Data SMACK/ by Raul Estrada, Isaac Ruiz.
其他題名:
A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka /
作者:
Estrada, Raul.
其他作者:
Ruiz, Isaac.
面頁冊數:
XXV, 264 p. 74 illus., 52 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Big data. -
電子資源:
https://doi.org/10.1007/978-1-4842-2175-4
ISBN:
9781484221754
Big Data SMACK = A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka /
Estrada, Raul.
Big Data SMACK
A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka /[electronic resource] :by Raul Estrada, Isaac Ruiz. - 1st ed. 2016. - XXV, 264 p. 74 illus., 52 illus. in color.online resource.
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.
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.
ISBN: 9781484221754
Standard No.: 10.1007/978-1-4842-2175-4doiSubjects--Topical Terms:
981821
Big data.
LC Class. No.: QA76.9.B45
Dewey Class. No.: 005.7
Big Data SMACK = A Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka /
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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.
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