Scala Programming for Big Data Analytics? : Get Started With Big Data Analytics Using Apache Spark

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 Learn** * See the fundamentals of Scala as a general-purpose programming language * Understand functional programming and object-oriented programming constructs in Scala * Use Scala collections and functions * Develop, package and run Apache Spark applications for big data analytics **Who This Book Is For**Data scientists, data analysts and data engineers who intend to use Apache Spark for large-scale analytics. 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 Learn See the fundamentals of Scala as a general-purpose programming language Understand functional programming and object-oriented programming constructs in Scala Use Scala collections and functions Develop, package and run Apache Spark applications for big data analytics Who This Book Is For Data scientists, data analysts and data engineers who intend to use Apache Spark for large-scale analytics. 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. You'll start with code blocks that allow you to group and execute related statements together as a block and see the implications for Scala's type system. The author discusses functions at length and highlights a number of associated concepts such as zero-parity functions, single-line functions, and anonymous functions. 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. You will: See the fundamentals of Scala as a general-purpose programming language Understand functional programming and object-oriented programming constructs in Scala Comprehend the use and various features of Scala REPL (shell) Use Scala collections and functions Employ functional programming constructs Front Matter ....Pages i-xxi Scala Language (Irfan Elahi)....Pages 1-13 Installing Scala (Irfan Elahi)....Pages 15-26 Using the Scala Shell (Irfan Elahi)....Pages 27-44 Variables (Irfan Elahi)....Pages 45-55 Data Types (Irfan Elahi)....Pages 57-79 Conditional Statements (Irfan Elahi)....Pages 81-93 Code Blocks (Irfan Elahi)....Pages 95-101 Functions (Irfan Elahi)....Pages 103-122 Collections (Irfan Elahi)....Pages 123-164 Loops (Irfan Elahi)....Pages 165-173 Classes and Packages (Irfan Elahi)....Pages 175-201 Exception Handling (Irfan Elahi)....Pages 203-221 Building and Packaging (Irfan Elahi)....Pages 223-260 Hello Apache Spark (Irfan Elahi)....Pages 261-299 Back Matter ....Pages 301-306