Have a personal or library account? Click to login
PySpark Cookbook Cover

PySpark Cookbook

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

Publisher:Packt Publishing Limited
By: Denny Lee and  Tomasz Drabas  
Paid access
|Sep 2024
Product purchase options

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: 2024
Language: English
Pages: 330
Related subjects:
Computer sciences,
Databases and data mining

People also read

Learning PySpark
Book

Learning PySpark

Tomasz Drabas, Denny Lee
Spark Cookbook
Book
Coming soon

Spark Cookbook

Apache Spark for Data Science Cookbook
Book

Apache Spark for Data Science Cookbook

Apache Spark 2.x Cookbook
Book

Apache Spark 2.x Cookbook

Essential PySpark for Scalable Data Analytics
Book

Essential PySpark for Scalable Data Analytics

Sreeram Nudurupati
Hands-On Big Data Analytics with PySpark
Book

Hands-On Big Data Analytics with PySpark

Rudy Lai, Bartłomiej Potaczek
Spark for Data Science
Book

Spark for Data Science

Apache Spark Quick Start Guide
Book

Apache Spark Quick Start Guide

Shrey Mehrotra, Akash Grade
Frank Kane's Taming Big Data with Apache Spark and Python
Book

Frank Kane's Taming Big Data with Apache Spark and Python

Frank Kane
Apache Spark 2.x Machine Learning Cookbook
Book

Apache Spark 2.x Machine Learning Cookbook