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PySpark Recipes
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PySpark Recipes : A Problem-Solution Approach with PySpark2

1st ed.

Book Details

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 15.90 x 23.80 x 2.10 cms
Ksh 8,100.00
Werezi Extended Catalogue 0 in stock

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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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