| 期刊全稱 | Big Data SMACK | | 期刊簡(jiǎn)稱 | A Guide to Apache Sp | | 影響因子2023 | Raul Estrada,Isaac Ruiz | | 視頻video | http://file.papertrans.cn/186/185659/185659.mp4 | | 發(fā)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 | | 圖書(shū)封面 |  | | 影響因子 | .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 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-13 00:06
發(fā)表于 2025-3-21 16:32:36
