國立虎尾科技大學 |

Scala Programming for Big Data Analytics = Get Started With Big Data Analytics Using Apache Spark /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Scala Programming for Big Data Analytics / by Irfan Elahi.
其他題名:	Get Started With Big Data Analytics Using Apache Spark /
作者:	Elahi, Irfan.
面頁冊數:	XXI, 306 p. 125 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Big data. -
電子資源:	https://doi.org/10.1007/978-1-4842-4810-2
ISBN:	9781484248102

Scala Programming for Big Data Analytics = Get Started With Big Data Analytics Using Apache Spark /
Elahi, Irfan.

Scala Programming for Big Data Analytics Get Started With Big Data Analytics Using Apache Spark /[electronic resource] :by Irfan Elahi. - 1st ed. 2019. - XXI, 306 p. 125 illus.online resource.

Chapter 1 - Scala Language -- Chapter 2 - Installing Scala -- Chapter 3 - Using Scala Shell -- Chapter 4 – Variables -- Chapter 5 - Data Types -- Chapter 6 - Conditional Statements -- Chapter 7 - Code Blocks -- Chapter 8 – Functions -- Chapter 9 - Scala collections -- Chapter 10 – Loops -- Chapter 11 - Using classes and packages -- Chapter 12 - Exception Handling -- Chapter 13 -- Chapter 14 - Hello World in 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. 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.

ISBN: 9781484248102

Standard No.: 10.1007/978-1-4842-4810-2doiSubjects--Topical Terms:

981821
Big data.

LC Class. No.: HF5548.125-5548.6

Dewey Class. No.: 658.4038

Scala Programming for Big Data Analytics = Get Started With Big Data Analytics Using Apache Spark /
LDR:03406nam a22003855i 4500 001 1004036
003 DE-He213
005 20200704221655.0
007 cr nn 008mamaa
008 210106s2019 xxu| s |||| 0|eng d
020 $a 9781484248102 $9 978-1-4842-4810-2
024 7 $a 10.1007/978-1-4842-4810-2 $2 doi
035 $a 978-1-4842-4810-2
050 4 $a HF5548.125-5548.6
072 7 $a KJQ $2 bicssc
072 7 $a BUS070030 $2 bisacsh
072 7 $a KJQ $2 thema
082 0 4 $a 658.4038 $2 23
100 1 $a Elahi, Irfan. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1229052
245 1 0 $a Scala Programming for Big Data Analytics $h [electronic resource] : $b Get Started With Big Data Analytics Using Apache Spark / $c by Irfan Elahi.
250 $a 1st ed. 2019.
264 1 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2019.
300 $a XXI, 306 p. 125 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
505 0 $a Chapter 1 - Scala Language -- Chapter 2 - Installing Scala -- Chapter 3 - Using Scala Shell -- Chapter 4 – Variables -- Chapter 5 - Data Types -- Chapter 6 - Conditional Statements -- Chapter 7 - Code Blocks -- Chapter 8 – Functions -- Chapter 9 - Scala collections -- Chapter 10 – Loops -- Chapter 11 - Using classes and packages -- Chapter 12 - Exception Handling -- Chapter 13 -- Chapter 14 - Hello World in Apache Spark.
520 $a 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.
650 0 $a Big data. $3 981821
650 0 $a Programming languages (Electronic computers). $3 1127615
650 0 $a Open source software. $3 561177
650 0 $a Computer programming. $3 527822
650 1 4 $a Big Data/Analytics. $3 1106909
650 2 4 $a Programming Languages, Compilers, Interpreters. $3 669782
650 2 4 $a Open Source. $3 1113081
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9781484248096
776 0 8 $i Printed edition: $z 9781484248119
856 4 0 $u https://doi.org/10.1007/978-1-4842-4810-2
912 $a ZDB-2-BUM
912 $a ZDB-2-SXBM
950 $a Business and Management (SpringerNature-41169)
950 $a Business and Management (R0) (SpringerNature-43719)