PySpark Recipes A Problem-Solution Approach with PySpark2 /

• Main Author: Mishra, Raju Kumar (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2018.
• Edition: 1st ed. 2018.
• Subjects: Big data.; Computer programming.; Programming languages (Electronic computers).; Data mining.; Big Data.; Programming Techniques.; Programming Languages, Compilers, Interpreters.; Data Mining and Knowledge Discovery.

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 R...

Table of Contents:

• Chapter 1: The Era of Big Data, Hadoop, and Other Big Data Processing Frameworks
• Chapter 2: Installation
• Chapter 3: Introduction to Python and NumPy
• Chapter 4: Spark Architecture and Resilient Distributed Dataset
• Chapter 5: The Power of Pairs: Paired RDD
• Chapter 6: IO in PySpark
• Chapter 7: Optimizing PySpark and PySpark Streaming
• Chapter 8: PySparkSQL
• Chapter 9: PySpark MLlib and Linear Regression.