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101 0 $aeng
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200 10$aBig Data SMACK $eA Guide to Apache Spark, Mesos, Akka, Cassandra, and Kafka /$fby Raul Estrada, Isaac Ruiz
205   $a1st ed. 2016.
210  1$aBerkeley, CA :$cApress :$cImprint: Apress,$d2016.
215   $a1 online resource (XXV, 264 p. 74 illus., 52 illus. in color.) 
300   $aIncludes index.
311 08$a9781484221747 
311 08$a1484221745 
327   $aPart 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.
330   $aIntegrate 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.
606   $aBig data
606   $aDatabase management
606   $aData structures (Computer science)
606   $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120
606   $aDatabase Management$3https://scigraph.springernature.com/ontologies/product-market-codes/I18024
606   $aData Structures$3https://scigraph.springernature.com/ontologies/product-market-codes/I15017
615  0$aBig data.
615  0$aDatabase management.
615  0$aData structures (Computer science)
615 14$aBig Data.
615 24$aDatabase Management.
615 24$aData Structures.
676   $a005.7
700   $aEstrada$b Raul$4aut$4http://id.loc.gov/vocabulary/relators/aut$0961533
702   $aRuiz$b Isaac$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bUMI
801  1$bUMI
906   $aBOOK
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996   $aBig Data SMACK$92179926
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