Anyone interested in learning more about big data will find there are lots of articles, videos, and books about the topic. On Amazon alone, there are thousands of books to sift through and it can be hard to separate the good from the bad. As such, we wanted to provide a top ten list with some of the best books out there for someone looking to learn more about the subject. These books run the gamut from beginner all the way to expert and have differing views and thoughts on the subject.
Big Data: A Revolution That Will Transform How We Live, Work, and Think
This book offers a thorough introduction to big data for those who are not data engineers or do not have experience with big data. The writing is crystal clear and uses language that is accessible to everyone so the points are easy to understand. The main points in the book include: data is accessible now compared to the past when sampling was overly important, the number of data points is also less important, allowing for inexact measurement processes, and causality of why things happen is less important than discovering the right action to take.
Author: Viktor Mayer-Schonberger & Kenneth Cukier
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
While reading Everybody Lies, the reader learns how the many types of online data that come from us can reveal major truths that we would prefer to keep hidden. People use the Internet in an unguarded way as they feel they’re alone with their thoughts, needs, and desires. This book takes on a witty but illuminating feel to look at how information paints us and what it reveals to others. Everyone has contact with big data and if you’re curious about how much and where it goes, this is a must read. It’s pretty entertaining, to boot.
Author: Seth Stephens-Davidowitz
Big Data for Dummies
This book looks at how managing big data is becoming more difficult, for businesses, government, and other organizations. The book helps those who need aid in managing or creating big data solutions. It includes definitions, explanations, and guides for the readers. Big data is explained and the authors explain how to select the right solution, understand security, analytics, and more. It’s written in a simple style that anyone can understand and takes the confusion out of big data for those who may not have a grasp on what it is just yet.
Author: Judith Hurwitz, Alan Nugent, Fern Halper & Marcia Kaufman
Big Data and Data Analytics: The Beginner’s Guide to Understanding the Analytical World
This book is for the businessperson who wants to know more about big data and how it affects their business. The author discusses how adopting data analytics can help with optimization and automation issues. He explains how as time changes, there are a larger number of software solutions that can help those in business succeed. The book presents an argument for hiring data professionals and is a great book for any business considering adding an analytical department or professional.
Author: Ronald Davis
Data Analytics: Become a Master in Data Analytics
Within this book is a lot of great information about the types of data analytics there are out in the world, the risks of data analytics and the benefits, along with real world examples to help readers understand the subject more fully. The author provides a useful primer with all the basics and vocabulary for someone new to the concept of big data. It doesn’t delve into the more nuanced information about big data, as not to overwhelm the reader. That said, it’s a perfect option for someone less experienced in the topic.
Author: Richard Dorsey
Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
This book looks at how big data is different from more traditional data analytics, why it’s important, and what a person needs to do to take advantage of it. It further goes into how big data can change your own job, your company, and the industry as a whole. In addition, the author delves into how to acquire workers who make big data work, as well as the key factors to be aware of when implementing a big data project. The book is full of anecdotes taken from big businesses that most know, offering real-world examples of how to grow.
Author: Thomas H. Davenport
Big Data for Beginners: Understanding SMART Big Data, Data Mining & Data Analytics for Improved Business Performance, Life Decisions & More!
The author of this book pulls together a large amount of information to introduce the concepts and uses of big data. It has many examples that are explained but give you the chance to think past that and determine your own thoughts on marketing, risk management, and other things. It goes over the distinct types of analytics, such as descriptive, prescriptive, and predictive, and applications that are out in the world now. For a business person who is uneducated on big data, this book is a wonderful choice.
Author: Vince Reynolds
The Big Data-Driven Business: How to Use Big Data to Win Customers, Beat Competitors, and Boost Profits
This book looks at how better information can lead to better decisions, better reach, and better targeting. There is explanation about what big data is and how it is (and will be) changing business. It looks at how major corporations are utilizing marketing technology in a bid to remain relevant. Real case studies are used to show how different strategies affect winners and losers in the business world. The author also looks into how marketing should be remodeled and ways to do so with regards to security and privacy.
Author: Russell Glass & Sean Callahan
Data Strategy: How to Profit from a World of Big Data, Analytics, and the Internet of Things
In this book, the author uses real-world examples and case studies to show you how to build data competencies in your business or organization. It delves into how to identify your data needs, how to collect the data, and how to translate the data into insights for improved decision making and performance. It’s an inspiring read that many could appreciate, serving as a way to show why transforming to a data driven business can lead to success in your business, and life in general.
Author: Bernard Marr
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
This book is anything but a math book, but it is thought provoking and different from the other books on this list. It speaks about the unintended consequences of mathematical models and how they may affect our lives in the future. She discusses how modelers should take responsibility for algorithms and policy makers should regulate their use. The book looks at things from a unique perspective and is worth perusing for anyone interested in big data. It may be a little doom and gloom but it makes you think about a lot of things in a totally different way.
Author: Cathy O’Neil
That concludes our top ten list of the best books about big data available on Amazon. We hope that this provides you with the information you need to move forward and learn more about this very modern and topical subject. Data is an important aspect of business nowadays and these books look at the many aspects of this and how it affects use in the workplace and out in the world.