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Taschenbuch. Condizione: Neu. Scala Programming for Big Data Analytics | Get Started With Big Data Analytics Using Apache Spark | Irfan Elahi | Taschenbuch | xxi | Englisch | 2019 | Apress | EAN 9781484248096 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condizione: Neu. The Effect of Socioeconomic Status on Academic Achievements in Science | Special Reference to Students Studying in Intermediate Part-I | Irfan Elahi Valeem (u. a.) | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639333046 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Condizione: Hervorragend. Zustand: Hervorragend | Seiten: 328 | Sprache: Englisch | Produktart: Bücher | 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, yoüll 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 Scaläs powerful collections system because many of Apache Spark¿s APIs bear a strong resemblance to Scala collections. Along the way yoüll see thedevelopment life cycle of a Scala program. This involves compiling and building programs using the industry-standard Scala Build Tool (SBT). Yoüll 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 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 ThisBook Is For Data scientists, data analysts and data engineers who intend to use Apache Spark for large-scale analytics.

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paperback. Condizione: New. Paperback. Pub Date: 2021-06-01 Pages: 244 Language: Chinese Publisher: Publishing House of Electronics Industry This book is an introductory book for beginners to Scala and Spark. It is very suitable for novices who are ready to step into the field of big data development. Read for other readers who are interested in this.?The content of this book follows a progressive explanation from the macro to the micro. from shallow to deep. covering the basic knowledge of Scala required for the introd.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 functionsDevelop, 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. 328 pp. Englisch.

Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides coverage of Scala with the prime goal of getting started with Apache Spark developmentCovers the end-to-end development life cycle of Scala applications employing industry standardsIncludes Scala programs tha.

Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Valeem Irfan Elahi1. Irfan Elahi Valeem: August 03, 1966, Uthal (Balochistan), M.Phil. (Ed.), M.Ed. (Eval. & Guid.), M.S.E. (Ment. Retard.), M.Sc. (App. Maths.) Senior Subject Specialist 2. Naseem Qaisrani: Ph.D., M.A. USA, M.A. .

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -What You Will LearnAPress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 328 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 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 functionsDevelop, package and run Apache Spark applications for big data analyticsWho ThisBook Is ForData scientists, data analysts and data engineers who intend to use Apache Spark for large-scale analytics.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The relationship between academic achievements of students and the family socioeconomic status (SES) has been well established according to an educational or sociological research. In the low SES families the influence of educational outcomes has significant dimension. This study exhibits new results from a sample of sufficient number of students belonging to different backgrounds of urban and rural areas. It supports economic and social components of the socioeconomic status equation that imposes dissimilar influences on educational outcomes. Families having high socioeconomic status most of the time demonstrate greater success towards preparation of their young for college as they have an access to resources to promote and support development of their children.