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Beginning Apache Spark 2

With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library

Authors: Luu, Hien

  • A tutorial on the Apache Spark platform written by an expert engineer and trainer using and teaching Spark
  • One of the very first books on the new Apache Spark 2.1 
  • Apache Spark is the leading alternative to Hadoop
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Buy this book

eBook $29.99
price for USA (gross)
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 5, 2018
  • ISBN 978-1-4842-3579-9
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Softcover $39.99
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 5, 2018
  • ISBN 978-1-4842-3578-2
  • Free shipping for individuals worldwide
About this book

Develop applications for the big data landscape with Spark and Hadoop. This book also explains the role of Spark in developing scalable machine learning and analytics applications with Cloud technologies. Beginning Apache Spark 2 gives you an introduction to Apache Spark and shows you how to work with it.
Along the way, you’ll discover resilient distributed datasets (RDDs); use Spark SQL for structured data; and learn stream processing and build real-time applications with Spark Structured Streaming. Furthermore, you’ll learn the fundamentals of Spark ML for machine learning and much more. 

After you read this book, you will have the fundamentals to become proficient in using Apache Spark and know when and how to apply it to your big data applications.  

What You Will Learn  

  • Understand Spark unified data processing platform 
  • Use and manipulate RDDs 
  • Deal with structured data using Spark SQL
  • Build real-time applications using Spark Structured Streaming
  • Develop intelligent applications with the Spark Machine Learning library

Who This Book Is For
Programmers and developers active in big data, Hadoop, and Java but who are new to the Apache Spark platform.  

About the authors

Hien Luu has extensive working experience in designing and building big data applications and scalable web-based applications. He has broad knowledge in following areas: Big data, web application framework, cloud computing, RESTful web services and cryptography. Hien has proven track record as a good software engineer and tech lead in delivering several successful projects. He has a passion for architecting scalable and highly available systems. He has also served as an instructor at UCSC Extension teaching Apache Spark, Apache Hadoop, Spring Framework, Design Patterns and Java Comprehensive. His past speaking engagements include 2016 Seattle Data Day, Extreme Streaming Processing at Uber, 2016 QCon London.

Buy this book

eBook $29.99
price for USA (gross)
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 5, 2018
  • ISBN 978-1-4842-3579-9
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Softcover $39.99
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 5, 2018
  • ISBN 978-1-4842-3578-2
  • Free shipping for individuals worldwide

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Bibliographic Information

Bibliographic Information
Book Title
Beginning Apache Spark 2
Book Subtitle
With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning library
Authors
Copyright
2018
Publisher
Apress
Copyright Holder
Hien Luu
eBook ISBN
978-1-4842-3579-9
DOI
10.1007/978-1-4842-3579-9
Softcover ISBN
978-1-4842-3578-2
Edition Number
1
Number of Pages
XIV, 272
Number of Illustrations and Tables
48 b/w illustrations, 34 illustrations in colour
Topics