Overview
- Provides coverage of Scala with the prime goal of getting started with Apache Spark development
- Covers the end-to-end development life cycle of Scala applications employing industry standards
- Includes Scala programs that use the industry-standard practices and the Scala Build Tool
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Table of contents (14 chapters)
Keywords
About this book
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 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 ThisBook Is For
Data scientists, data analysts and data engineers who intend to use Apache Spark for large-scale analytics.
Authors and Affiliations
About the author
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.
Bibliographic Information
Book Title: Scala Programming for Big Data Analytics
Book Subtitle: Get Started With Big Data Analytics Using Apache Spark
Authors: Irfan Elahi
DOI: https://doi.org/10.1007/978-1-4842-4810-2
Publisher: Apress Berkeley, CA
eBook Packages: Business and Management, Apress Access Books, Business and Management (R0)
Copyright Information: Irfan Elahi 2019
Softcover ISBN: 978-1-4842-4809-6Published: 06 July 2019
eBook ISBN: 978-1-4842-4810-2Published: 05 July 2019
Edition Number: 1
Number of Pages: XXI, 306
Number of Illustrations: 125 b/w illustrations
Topics: Big Data/Analytics, Programming Languages, Compilers, Interpreters, Open Source