PySpark Recipes

PySpark Recipes

EnglishPaperback / softbackPrint on demand
Mishra, Raju Kumar
APress
EAN: 9781484231401
Print on demand
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Detailed information

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

EAN 9781484231401
ISBN 1484231406
Binding Paperback / softback
Publisher APress
Publication date December 10, 2017
Pages 265
Language English
Dimensions 235 x 155
Country United States
Readership Professional & Scholarly
Authors Mishra, Raju Kumar
Illustrations XXIII, 265 p. 47 illus., 12 illus. in color.
Edition 1st ed.
Manufacturer information
The manufacturer's contact information is currently not available online, we are working intensively on the axle. If you need information, write us on [email protected], we will be happy to provide it.