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Titlebook: Big Data SMACK; A Guide to Apache Sp Raul Estrada,Isaac Ruiz Book 2016 Raul Estrada and Isaac Ruiz 2016 Big Data.Scala.Akka.Apache Spark.Ap

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发表于 2025-3-21 16:32:36 | 显示全部楼层 |阅读模式
期刊全称Big Data SMACK
期刊简称A Guide to Apache Sp
影响因子2023Raul Estrada,Isaac Ruiz
视频video
发行地址The first book presenting the SMACK stack.A practical guide teaching how to incorporate big data.Covers the full stack of big data architecture, discussing the practical benefits of each technology
图书封面Titlebook: Big Data SMACK; A Guide to Apache Sp Raul Estrada,Isaac Ruiz Book 2016 Raul Estrada and Isaac Ruiz 2016 Big Data.Scala.Akka.Apache Spark.Ap
影响因子.Learn how to integrate full-stack open source big data architecture and to choose the correct technology—Scala/Spark, Mesos, Akka, Cassandra, and Kafka—in every layer. .Big data architecture is becoming a requirement for many different enterprises. So far, however, the focus has largely been on collecting, aggregating, and crunching large data sets in a timely manner. In many cases now, organizations need more than one paradigm to perform efficient analyses...Big Data SMACK. explains each of the full-stack technologies and, more importantly, how to best integrate them. It provides detailed coverage of the practical benefits of these technologies and incorporates real-world examples in every situation. This book focuses on the problems and scenarios solved by the architecture, as well as the solutions provided by every technology. It covers the six main concepts of big data architecture and how integrate, replace, and reinforce every layer:..The language: Scala.The engine: Spark (SQL, MLib, Streaming, GraphX).The container: Mesos, Docker.The view: Akka.The storage: Cassandra.The message broker: Kafka.......What You Will Learn:..Make big data architecture without using complex Greek
Pindex Book 2016
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发表于 2025-3-21 22:50:19 | 显示全部楼层
ure, discussing the practical benefits of each technology.Learn how to integrate full-stack open source big data architecture and to choose the correct technology—Scala/Spark, Mesos, Akka, Cassandra, and Kafka—in every layer. .Big data architecture is becoming a requirement for many different enterp
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Sequence Variation and Molecular Evolutiontion persistence; the sometimes neglected “data layer” will take on a new dimension when you have finished this chapter. It’s time to meet Apache Cassandra, a NoSQL database that provides high availability and scalability without compromising performance.
发表于 2025-3-22 15:03:03 | 显示全部楼层
Storage: Apache Cassandration persistence; the sometimes neglected “data layer” will take on a new dimension when you have finished this chapter. It’s time to meet Apache Cassandra, a NoSQL database that provides high availability and scalability without compromising performance.
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Testing Evolutionary HypothesesIf the previous chapter’s objective was to develop functional thinking, this chapter’s objective is to develop actor model thinking.
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