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Beginning Apache Spark 2

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

Authors: Luu, Hien

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  • 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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eBook $29.99
price for USA (gross)
  • ISBN 978-1-4842-3579-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $39.99
price for USA
  • ISBN 978-1-4842-3578-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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
  • How to run Spark in Spark Shell or Databricks 
  • Use and manipulate RDDs 
  • Deal with structured data using Spark SQL through its operations and advanced functions
  • 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 experience in designing and building big data applications and scalable web-based applications. He is particularly passionate about the intersection between big data and machine learning. Hien enjoys working with open source software and has contributed to Apache Pig and Azkaban. Teaching is also one of his passions, and he serves as an instructor at the UCSC Silicon Valley Extension school teaching Apache Spark. He has given presentations at various conferences such a QCon SF, QCon London, Seattle Data Day, Hadoop Summit, and JavaOne.

Table of contents (8 chapters)

Buy this book

eBook $29.99
price for USA (gross)
  • ISBN 978-1-4842-3579-9
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $39.99
price for USA
  • ISBN 978-1-4842-3578-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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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
XI, 393
Number of Illustrations
86 b/w illustrations
Topics