1."LearningSpark:Lightning-FastBigDataAnalysis"byHoldenKarau,AndyKonwinski,PatrickWendell,andMateiZaharia
Recommended Spark Programming Books
This book is a great resource for beginners who want to learn about Apache Spark. It covers the basics of Spark programming, including RDDs, DataFrames, and Spark SQL. The authors provide clear explanations and hands-on examples to help you understand the concepts.
This comprehensive guide covers a wide range of topics related to Spark programming, including Spark architecture, Spark Streaming, and machine learning with Spark. It is suitable for both beginners and experienced Spark developers looking to deepen their understanding of the framework.
If you are interested in optimizing your Spark applications for performance, this book is a must-read. It provides practical tips and best practices for improving the speed and efficiency of your Spark jobs. The authors also cover advanced topics such as tuning Spark configurations and troubleshooting performance issues.

This book is ideal for developers who want to master Apache Spark 2.x and its ecosystem. It covers advanced topics such as Spark MLlib, GraphX, and Spark Streaming. The author provides in-depth explanations and real-world examples to help you become proficient in Spark programming.
If you are looking for a beginner-friendly guide to Apache Spark, this book is a good choice. It is designed for readers who want to learn Spark programming quickly and efficiently. The book provides step-by-step instructions and hands-on exercises to help you get up to speed with Spark in just 24 hours.
Remember to check the latest editions of these books as Spark technology evolves rapidly. Happy learning!