Scala Programming for Big Data Analytics (PDF)

Name: Scala Programming for Big Data Analytics
Brand: Springer-Verlag GmbH
SKU: 126174598
Price: 38.03 EUR
Availability: OnlineOnly

Get Started With Big Data Analytics Using Apache Spark (Sprache: Englisch)

Autor: Irfan Elahi

Schreiben Sie einen Kommentar zu "Scala Programming for Big Data Analytics".

Scala Programming for Big Data Analytics, Irfan Elahi

Merken

Mehr zum Inhalt Autorenporträt Video

eBook (pdf) 38.03 €

Buch (Kartoniert) 38.49 €

sofort als Download lieferbar

Bestellnummer: 126174598

Printausgabe 38.49 €

eBook (pdf) -1% 38.03 €

Download bestellen

Verschenken

Lastschrift, Kreditkarte, Paypal, Rechnung
Kostenloser tolino webreader

Produktdetails

Produktbeschreibung
Autorenporträt
eBook Hilfe
Biblio. Angaben / Produktdetails

Produktinformationen zu „Scala Programming for Big Data Analytics (PDF)“

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 guidelinesrelated 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

Autoren-Porträt von Irfan Elahi

Irfan Elahi is a senior consultant in Deloitte Australia specializing in big data and machine learning. His primary focus lies in using big data and machine learning to support business growth with multifaceted and strong ties to the telecommunications, energy, retail and media industries. He has worked on a number of projects in Australia to design, prototype, develop, and deploy production-grade big data solutions in Amazon Web Services (AWS) and Azure to support a number of use-cases ranging from enterprise data warehousing, ETL offloading, analytics, batch processing and stream processing while employing leading commercial Hadoop solutions such as Cloudera and Hortonworks. He has worked closely with clients' systems and software engineering teams using DevOps to enhance the continuous integration and continuous deployment (CICD) processes and manage a Hadoop cluster's operations and security.
In addition to his technology competencies, Irfan has recently presented at the DataWorks Summit in Sydney on the subject of in-memory big data technologies and in a number of meetups all around the world. He also remains involved delivering knowledge-transfer sessions, training and workshops about big data and machine learning, both within his firm and at clients. He also has launched Udemy courses on Apache Spark for big data analytics and R programming for data science with more than 18,000 students from 145 countries enrolled.