| 書目名稱 | Practical Apache Spark | | 副標題 | Using the Scala API | | 編輯 | Subhashini Chellappan,Dharanitharan Ganesan | | 視頻video | http://file.papertrans.cn/753/752781/752781.mp4 | | 概述 | Contains extensive coverage of machine-learning algorithms with real-time code implementation using Spark MLib.Explains the SparkR real-time module with code implementation.Covers Spark Streaming and | | 圖書封面 |  | | 描述 | Work with Apache Spark using Scala to deploy and set up single-node, multi-node, and high-availability clusters. This book discusses various components of Spark such as Spark Core, DataFrames, Datasets and SQL, Spark Streaming, Spark MLib, and R on Spark with the help of practical code snippets for each topic. .Practical Apache Spark. also covers the integration of Apache Spark with Kafka with examples. You’ll follow a learn-to-do-by-yourself approach to learning – learn the concepts, practice the code snippets in Scala, and complete the assignments given to get an overall exposure.?.On completion, you’ll have knowledge of the functional programming aspects of Scala, and hands-on expertise in various Spark components. You’ll also become familiar with machine learning algorithms with real-time usage..What You Will Learn.Discover the functional programming features of Scala.Understand the completearchitecture of Spark and its?components.Integrate Apache Spark with Hive and Kafka?.Use Spark SQL, DataFrames, and Datasets to process data using traditional SQL queries.Work with different machine learning concepts and libraries using Spark‘s MLlib packages.Who This Book Is For.Developers | | 出版日期 | Book 2018 | | 關鍵詞 | Apache Spark; Scala; Big Data; Machine Learning; Kafka; R | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-3652-9 | | isbn_softcover | 978-1-4842-3651-2 | | isbn_ebook | 978-1-4842-3652-9 | | copyright | Subhashini Chellappan, Dharanitharan Ganesan 2018 |
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