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PySpark Recipes : A Problem-Solution Approach with PySpark2 - 1st ed.

By: (Author) Raju Kumar Mishra

Extended Catalogue

Ksh 8,100.00

Format: Paperback / Softback

ISBN-10: 1484231406

ISBN-13: 9781484231401

Edition: 1st ed.

Publisher: APress

Imprint: APress

Country of Manufacture: US

Country of Publication: GB

Publication Date: Dec 10th, 2017

Print length: 265 Pages

Weight: 452 grams

Dimensions (height x width x thickness): 15.90 x 23.80 x 2.10 cms

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  • Description

  • Reviews

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 SparkSQLOptimize your codeProgram SparkSQL with PythonUse Spark Streaming and Spark MLlib with PythonPerform graph analysis with GraphFramesWho This Book Is ForData analysts, Python programmers, big data enthusiasts
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


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