14 Best Spark Books

Learning Spark

Lightning-Fast Data Analytics

by Jules S. Damji

Advanced Analytics with Spark

Patterns for Learning from Data at Scale

by Sandy Ryza

High Performance Spark

Best Practices for Scaling and Optimizing Apache Spark

by Holden Karau

Spark in Action

Covers Apache Spark 3 with Examples in Java, Python, and Scala

by Jean-Georges Perrin

Apache Spark in 24 Hours, Sams Teach Yourself

by Jeffrey Aven

Spark

The Definitive Guide

by Bill Chambers

Data Analytics with Spark Using Python

by Jeffrey Aven

Graph Algorithms

Practical Examples in Apache Spark and Neo4j

by Mark Needham

Mastering Apache Spark

Gain Expertise in Processing and Storing Data by Using Advanced Techniques with Apache Spark

by Mike Frampton

Mastering Spark with R

The Complete Guide to Large-Scale Analysis and Modeling

by Javier Luraschi

Pro Spark Streaming

The Zen of Real-Time Analytics Using Apache Spark

by Zubair Nabi

Spark

Big Data Cluster Computing in Production

by Ilya Ganelin

Spark Cookbook

by Rishi Yadav

Stream Processing with Apache Spark

Mastering Structured Streaming and Spark Streaming

by Gerard Maas