PySpark Recipes

A Problem-Solution Approach with PySpark2

Authors: Mishra, Raju Kumar

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  • Presents advanced features of PySpark and code optimization techniques
  • Covers SparkSQL, Spark Streaming, Spark MLlib, and GraphFrames
  • Discusses and demonstrates Data Science and Big Data processing with PySpark MLlib
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eBook $29.99
price for USA (gross)
  • ISBN 978-1-4842-3141-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $39.99
price for USA
  • ISBN 978-1-4842-3140-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Quickly find solutions to common programming problems encountered while processing big data. Content is presented in the popular problem-solution format. Look up the programming problem that you want to solve. Read the solution. Apply the solution directly in your own code. Problem solved!
PySpark Recipes covers Hadoop and its shortcomings. The architecture of Spark, PySpark, and RDD are presented. You will learn to apply RDD to solve day-to-day big data problems. Python and NumPy are included and make it easy for new learners of PySpark to understand and adopt the model.

What You Will Learn  

  • Understand the advanced features of PySpark2 and SparkSQL
  • Optimize your code
  • Program SparkSQL with Python
  • Use Spark Streaming and Spark MLlib with Python
  • Perform graph analysis with GraphFrames
Who This Book Is For
Data analysts, Python programmers, big data enthusiasts

About the authors

Raju Mishra has strong interests in data science and systems that have the capability of handling large amounts of data and operating complex mathematical models through computational programming. He was inspired to pursue an M. Tech in computational sciences from Indian Institute of Science in Bangalore, India. Raju primarily works in the areas of data science and its different applications. Working as a corporate trainer he has developed unique insights that help him in teaching and explaining complex ideas with ease. Raju is also a data science consultant solving complex industrial problems. He works on programming tools such as R, Python, scikit-learn, Statsmodels, Hadoop, Hive, Pig, Spark, and many others.

Table of contents (9 chapters)

  • The Era of Big Data, Hadoop, and Other Big Data Processing Frameworks

    Mishra, Raju Kumar

    Pages 1-14

  • Installation

    Mishra, Raju Kumar

    Pages 15-44

  • Introduction to Python and NumPy

    Mishra, Raju Kumar

    Pages 45-83

  • Spark Architecture and the Resilient Distributed Dataset

    Mishra, Raju Kumar

    Pages 85-114

  • The Power of Pairs: Paired RDDs

    Mishra, Raju Kumar

    Pages 115-136

Buy this book

eBook $29.99
price for USA (gross)
  • ISBN 978-1-4842-3141-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $39.99
price for USA
  • ISBN 978-1-4842-3140-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
PySpark Recipes
Book Subtitle
A Problem-Solution Approach with PySpark2
Authors
Copyright
2018
Publisher
Apress
Copyright Holder
Raju Kumar Mishra
eBook ISBN
978-1-4842-3141-8
DOI
10.1007/978-1-4842-3141-8
Softcover ISBN
978-1-4842-3140-1
Edition Number
1
Number of Pages
XXIII, 265
Number of Illustrations and Tables
35 b/w illustrations, 12 illustrations in colour
Topics