Library Catalogue, University of Skövde

   
Scala programming for big data analytics : get started with big data analytics using Apache Spark / Irfan Elahi.
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Location
  • 006.3
Main Entry - Personal Name
  • Elahi, Irfan Författare/medförfattare
Title Statement
  • Scala programming for big data analytics : get started with big data analytics using Apache Spark / Irfan Elahi.
Varying Form of Title
  • Get started with big data analytics using Apache Spark
Publication, Distribution, etc. (Imprint)
  • [Berkeley, California] : Apress, 2019
Dewey Decimal Classification Number
  • 006.312
Physical Description
  • xxi, 306 pages illustrations 24 cm
General Note
  • "For professionals by professionals."
Bibliography, etc. Note
  • Includes bibliographical references and index.
Formatted Contents Note
  • Scala language -- Installing Scala -- Using the Scala shell -- Variables -- Data types -- Conditional statements -- Code blocks -- Functions -- Collections -- Loops -- Classes and packages -- Exception handling -- Building and packaging -- Hello Apache Spark.
Summary, etc
  • 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, youll set up the Scala environment ready for examining your first Scala programs. Youll start with code blocks that allow you to group and execute related statements together as a block and see the implications for Scalas 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 youll see the development life cycle of a Scala program. This involves compiling and building programs using the industry-standard Scala Build Tool (SBT). Youll 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.
Subject - Uniform Title
  • Spark (Electronic resource : Apache Software Foundation)
Subject - Topical Term
  • Data mining.
  • Scala (Computer program language)
  • Big data.
ISBN
  • 1484248090
  • 9781484248096
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*001462058
*00520200716164418.0
*008200716s2019    caua|||||b||||001 0|eng|d
*020  $a1484248090
*020  $a9781484248096
*035  $a(OCoLC)on1089015217
*035  $a(SE-LIBR)cp63gsdp98gz71nm
*040  $aSkov$beng$ei
*041  $aeng
*08204$a006.312$223
*1001 $aElahi, Irfan$4aut
*24510$aScala programming for big data analytics :$bget started with big data analytics using Apache Spark /$cIrfan Elahi.
*24610$aGet started with big data analytics using Apache Spark
*264 1$a[Berkeley, California] :$bApress,$c2019
*300  $axxi, 306 pages$billustrations$c24 cm
*336  $atext$btxt$2rdacontent
*337  $aunmediated$bn$2rdamedia
*338  $avolume$bnc$2rdacarrier
*500  $a"For professionals by professionals."
*504  $aIncludes bibliographical references and index.
*5058 $aScala language -- Installing Scala -- Using the Scala shell -- Variables -- Data types -- Conditional statements -- Code blocks -- Functions -- Collections -- Loops -- Classes and packages -- Exception handling -- Building and packaging -- Hello Apache Spark.
*520  $aGain the key language concepts and programming techniques of Scala in the context of big data analytics and Apache Spark. The book begins by introducing you to Scala and establishes a firm contextual understanding of why you should learn this language, how it stands in comparison to Java, and how Scala is related to Apache Spark for big data analytics. Next, youll set up the Scala environment ready for examining your first Scala programs. Youll start with code blocks that allow you to group and execute related statements together as a block and see the implications for Scalas type system. The author discusses functions at length and highlights a number of associated concepts such as zero-parity functions, single-line functions, and anonymous functions. Along the way youll see the development life cycle of a Scala program. This involves compiling and building programs using the industry-standard Scala Build Tool (SBT). Youll cover guidelines related to dependency management using SBT as this is critical for building large Apache Spark applications. Scala Programming for Big Data Analytics concludes by demonstrating how you can make use of the concepts to write programs that run on the Apache Spark framework. These programs will provide distributed and parallel computing, which is critical for big data analytics. You will: See the fundamentals of Scala as a general-purpose programming language Understand functional programming and object-oriented programming constructs in Scala Comprehend the use and various features of Scala REPL (shell) Use Scala collections and functions Employ functional programming constructs.
*63000$aSpark (Electronic resource : Apache Software Foundation)
*650 0$aData mining.
*650 0$aScala (Computer program language)
*650 0$aBig data.
*852  $h006.3
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