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PySpark Cookbook Cover

PySpark Cookbook

Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python

Paid access
|Jul 2018

Table of Contents

  1. Spark installation and configuration
  2. Abstracting data with RDDs
  3. Abstracting data with DataFrames
  4. Preparing data for modeling
  5. Machine Learning with MLLib
  6. Machine Learning with ML module
  7. Structured streaming with PySpark
  8. GraphFrames - Graph Theory with PySpark
PDF ISBN: 978-1-78883-425-4
Publisher: Packt Publishing Limited
Copyright owner: © 2018 Packt Publishing Limited
Publication date: 2018
Language: English
Pages: 330

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