PySpark Cookbook presents effective and time-saving recipes for leveraging the power of Python and putting it to use in the Spark ecosystem. (Limited-time offer)
Table of Contents
- Installing and Configuring Spark
- Abstracting Data with RDDs
- Abstracting Data with DataFrames
- Preparing Data for Modeling
- Machine Learning with MLlib
- Machine Learning with the ML Module
- Structured Streaming with PySpark
- GraphFrames – Graph Theory with PySpark
Download Free PDF / Read Online
Author(s): Denny Lee, Tomasz Drabas
Publisher: Packt Publishing
Published: June 2018
Format(s): Online
File size: –
Number of pages: 330
Download / View Link(s): This offer has ended.
Free as of 06/27/2022.
Publisher: Packt Publishing
Published: June 2018
Format(s): Online
File size: –
Number of pages: 330
Download / View Link(s): This offer has ended.
Free as of 06/27/2022.