Share:

12 Best Apache Spark Books

Goal: Find the best Apache Spark books according to the internet (not just one person's opinion).

Method:

  1. Search for "best apache spark books" and study the top 5+ pages.
  2. Add only the books mentioned 2+ times.
  3. Rank the results neatly here.

12 Best Apache Spark Books

As an Amazon Associate, we earn from qualifying purchases (at no extra cost to you).

1

Advanced Analytics with Spark

Patterns for Learning from Data at Scale

by Sandy Ryza

2

Learning Spark

Lightning-Fast Data Analytics

by Jules S. Damji

3

Apache Spark in 24 Hours, Sams Teach Yourself

by Jeffrey Aven

4

High Performance Spark

Best Practices for Scaling and Optimizing Apache Spark

by Holden Karau

5

Mastering Apache Spark

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

by Mike Frampton

6

Spark

The Definitive Guide

by Bill Chambers

7

Spark Cookbook

by Rishi Yadav

8

Big Data Analytics with Spark

A Practitioner's Guide to Using Spark for Large Scale Data Analysis

by Mohammed Guller

9

Pro Spark Streaming

The Zen of Real-Time Analytics Using Apache Spark

by Zubair Nabi

10

Spark

Big Data Cluster Computing in Production

by Ilya Ganelin

11

Spark GraphX in Action

by Michael Malak

12

Spark in Action

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

by Jean-Georges Perrin

Sources

Edited by

Richard Reis

Software engineer whose passion for tracking book recommendations from podcasts inspired the creation of MRB.

Anurag Ramdasan

Lead investor at 3one4 Capital whose startup expertise and love for books helped shaped MRB and its growth.

Comments

Did we miss something? Have feedback?

Help us improve this page by sharing your thoughts

We only use your email to notify you about replies.

All comments are moderated.