There are several excellent books on big data that provide comprehensive and insightful coverage of the subject. Here are a few popular ones:

1. “Big Data: A Revolution That Will Transform How We Live, Work, and Think” by Viktor Mayer-Schönberger and Kenneth Cukier: This book offers an introduction to big data and its potential impact on various aspects of society, including business, science, and public policy.

1. “The Big Data-Driven Business: How to Use Big Data to Win Customers, Beat Competitors, and Boost Profits” by Russell Glass and Sean Callahan: Focused on the business applications of big data, this book explores strategies for leveraging data to gain a competitive edge and drive growth.

1. “Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking” by Foster Provost and Tom Fawcett: While not solely dedicated to big data, this book provides valuable insights into the fundamental principles of data science and analytics, which are essential for understanding big data concepts and techniques.

1. “Big Data: A Very Short Introduction” by Dawn E. Holmes: As part of the Oxford University Press “Very Short Introduction” series, this book offers a concise overview of big data, covering its definition, historical context, potential benefits, and challenges.

1. “Data-Intensive Text Processing with MapReduce” by Jimmy Lin and Chris Dyer: This book focuses specifically on the MapReduce programming model, which is commonly used for processing and analyzing large-scale datasets. It provides practical examples and case studies.

Remember that the best book for you may depend on your specific interests, background knowledge, and goals related to big data. So, it’s worth exploring reviews and summaries to find a book that aligns with your needs.