Synopsis: 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 the development 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 applications. Scala Programming for Big Data Analytics concludes by demonstrating how you can make use of the concepts to write programs that run on the Apache Spark framework. These programs will provide distributed and parallel computing, which is critical for big data analytics.What You Will LearnSee the fundamentals of Scala as a general-purpose programming languageUnderstand functional programming and object-oriented programming constructs in ScalaUse Scala collections and functions Develop, package and run Apache Spark applications for big data analyticsWho This Book Is ForData scientists, data analysts and data engineers who intend to use Apache Spark for large-scale analytics./div .
Donec scelerisque, lacus at suscipit cursus, nisi turpis sagittis arcu, eu varius metus mauris ac erat. Integer at augue sagittis purus dictum porttitor. Maecenas vitae varius nisi. Etiam varius felis justo, vitae aliquam enim ultrices at. Nam tempor, diam sit amet gravida imperdiet, erat tellus sagittis erat, eu sollicitudin risus leo ac leo. Ut congue ut est in consequat. Aenean viverra augue eget justo dapibus pulvinar. In eu sapien sed metus ultrices dictum. Integer quis scelerisque mi, a fermentum orci. Nullam non lacus sagittis, rutrum velit quis, placerat massa. Fusce libero ex, mollis id ex at, viverra interdum nunc. In fermentum sapien sed tortor ornare, id sollicitudin neque sollicitudin. Mauris in massa urna. Aliquam vel est suscipit, congue ipsum sit amet, pulvinar est. Fusce pharetra enim eu facilisis tincidunt. Curabitur condimentum porttitor leo vitae vulputate.
Integer id mi id augue feugiat aliquam aliquam eu sapien. Donec placerat, neque at pellentesque aliquet, odio diam porttitor velit, in ornare felis mi ut ipsum. Morbi dictum gravida elit, a maximus neque. Etiam consequat tempor mi, in luctus lectus pulvinar mollis. Mauris elementum, nisi eu varius ullamcorper, leo augue vestibulum neque, in mollis eros arcu et lectus. Sed accumsan vel nunc id rutrum. Aenean sit amet lorem eget enim faucibus sodales. Sed rhoncus ornare sagittis. Integer massa nibh, lobortis ut mattis sit amet, aliquam ut nisi. Donec consequat tellus neque, eu mattis mauris faucibus ut. Suspendisse ultricies mauris et leo imperdiet varius. Ut rutrum lacus sit amet scelerisque ultricies. Nunc purus urna, accumsan non tincidunt non, commodo vitae sem. In quis augue nec sem commodo rutrum.