| 書目名稱 | Scala Programming for Big Data Analytics | | 副標題 | Get Started With Big | | 編輯 | Irfan Elahi | | 視頻video | http://file.papertrans.cn/862/861019/861019.mp4 | | 概述 | Provides coverage of Scala with the prime goal of getting started with Apache Spark development.Covers the end-to-end development life cycle of Scala applications employing industry standards.Includes | | 圖書封面 |  | | 描述 | Gain the key language concepts and programming techniques of Scala in the context of big data analytics and Apache Spark. The book begins by introducing you to Scala and establishes a firm contextual understanding of why you should learn this language, how it stands in comparison to Java, and how Scala is related to Apache Spark for big data analytics. Next, you’ll set up the Scala environment ready for examining your first Scala programs. This is followed by sections on Scala fundamentals including mutable/immutable variables, the type hierarchy system, control flow expressions and code blocks..The author discusses functions at length and highlights a number of associated concepts such as functional programming and anonymous functions. The book then delves deeper into Scala’s powerful collections system because many of Apache Spark’s APIs bear a strong resemblance to Scala collections.?.Along the way you’ll see thedevelopment life cycle of a Scala program. This involves compiling and building programs using the industry-standard Scala Build Tool (SBT). You’ll cover guidelines related to dependency management using SBT as this is critical for building large Apache Spark application | | 出版日期 | Book 2019 | | 關鍵詞 | Scala Programming; Apache Spark; Java Development Kit; Scala Functional Programming; Scala Shell; Data Ty | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-4810-2 | | isbn_softcover | 978-1-4842-4809-6 | | isbn_ebook | 978-1-4842-4810-2 | | copyright | Irfan Elahi 2019 |
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