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PySpark Recipes: A Problem-Solution Approach with PySpark2
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 Who This Book Is For
Data analysts, Python programmers, big data enthusiasts
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 Who This Book Is For
Data analysts, Python programmers, big data enthusiasts
288 pages, Paperback
Published December 10, 2017
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February 16, 2018
The book couldn't have been launched at a better time as it is a comprehensive book that covers the current needs of understanding the big data in a simple and very basic way. The spectrum of the content from basic installation to contextual mathemathics of topics covers almost all aspects of big data required to understand the field.
Displaying 1 of 1 review