PySpark Recipes
A Problem-Solution Approach with PySpark2

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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 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

AuthorRaju Kumar Mishra
Edition1st ed.
Height925 mm
Length610 mm
Width66 mm
Language TypePublished
Number Of Items1
Number Of Pages265
Product GroupBook
Publication Date2017-12-10
Sales Rank263583

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