The best 24 Big Data books

Big Data provides an insightful look at why a change to “big data” is a major shift in how we collect, use and think about the data around us. It provides great explanations and examples of how individuals and companies already ahead of the curve are using the tools of big data to create value and profit. Casting an eye forward, the book also outlines the future implications for a big-data society in terms of the risks, opportunities and legal implications.

Too Big to Ignore explains why Big Data is tremendously important for your business. It illustrates the ways that Big Data analysis can revolutionize your company, and takes you step by step through the tools you need to harness it. It also looks ahead to our Big Data future.

From building a wine cellar to finding your happily ever after, modern life is increasingly ruled by number crunching and algorithms. Super Crunchers (2007) is about the sheer power of the large data sets that are fed into algorithms and the way they’re revolutionizing our businesses, medical treatment and even our governments.

Small Data (2016) is a guide to utilizing minor details about people’s lives to connect with them and sell them on your brand image. These blinks incorporate observations of cultures all over the world to point to the emotions and desires that help brands become household names.

It’s Not the Size of the Data (2014) is a beginner's guide to designing, creating and adopting your own marketing dashboard, helping you uncover the links between campaigns and performance, and monitor progress with long-term goals in mind.

Though you might not be aware of it, machine learning algorithms are already seeping into every aspect of human life, becoming more and more powerful as they continue to learn from an ever-increasing amount of data. The Master Algorithm (2016) provides a broad overview of what kind of algorithms are already out there, the problems they face, the solutions they can provide and how they’re going to revolutionize the future.

Everybody Lies (2017) is about the data collected in vast quantities by computers and over the internet. This data can help reveal fascinating information about the human psyche, behavior and quirks, because, as it turns out, people aren’t always so willing to communicate their true hopes and desires to others.

Weapons of Math Destruction (2016) offers a critical look at the growing number of algorithms that could be impacting your day-to-day life in ways you’re not even aware of. As more businesses and services, including schools and police, use algorithms to automate jobs, an increasing number of people are suffering the adverse effects. So don’t leave yourself at the mercy of automation – find out what you can do to protect yourself and your data.

In a world where data, numbers and statistics are treated like holy relics, Sensemaking (2017) powerfully advocates a return to humanities-based thinking. These blinks explain the process and principles of sensemaking, a way to make sense of the world through the interpretation of human culture. Being able to look beyond the immediate focus and understand the context surrounding the issues at hand is a critical tool for anyone looking to develop great, one-of-a-kind ideas.

Streaming, Sharing, Stealing (2016) is about the ever-changing entertainment industry. Recent years have seen the emergence of new players who continue to utilize technology to transform the landscape. This book assesses how companies like Apple, Netflix and Amazon use data to understand their consumers’ needs.

Frenemies (2018) explores the forces that are currently disrupting the traditional advertising and marketing industries. It looks at how the internet age has forced the advertising industry to change and adapt, specifically how technology, science and customization have revolutionized the role of the traditional advertising agency.

AI Superpowers (2018) takes a revealing look at the US and China as the world stands at the precipice of the AI economy, a multi-trillion dollar industry of algorithms and automation. As a tech expert and venture capitalist with experience in both China and the US, author Kai-Fu Lee guides us through the past to discover how we got to where we are and what to expect in the future.

The People Vs Tech (2018) examines the rise of digital technology. It argues this process is undermining six of the key pillars of democracy: active citizenship, a shared democratic culture, free elections, free association, equality, and governmental authority. Looking to the future and observing how it is already unfolding in the present, it paints a chilling picture of the possible dystopian world to come. However, it also shows the paths that are leading us to that world and suggests that these paths can be redirected, pointing the way to a better future.

The Four (2017) examines the great superpowers of our digital age – Apple, Amazon, Facebook and Google – and attempts to answer a few tough questions: How have these companies changed the world we live in and what is their formula for success? How can other companies rise to similar echelons of power? And what does it take to thrive in a world shaped by the Four?

New Dark Age (2018) investigates the fundamental paradox of our digital age: as new technologies allow us to gather more and more data on our world, we understand less and less of it. Examining the history, politics and geography of the complex digital network we are enmeshed in, James Bridle sheds new light on the central issues of our time, from climate change to wealth inequality to post-factual politics, and explains how we can live with purpose in an era of uncertainty.

Mindf*ck (2019), written by a whistleblower, tells the story of the largest data crime in history to date. On the eve of the 2016 United States presidential election, consulting firm Cambridge Analytica harvested the Facebook data from 87 million people and used it to conduct a mass disinformation campaign. Now, the full story has finally come to light.

Calling Bullshit (2020) is a guide to navigating the huge amounts of bullshit that surround us. By being alert to the ways in which data and scientific processes get manipulated, we can learn to call out bullshit when we see it.

The Data Detective (2021) is a smart, practical guide to understanding the ways in which statistics –⁠ and our reactions to them –⁠ distort and obscure reality. Using psychological research and illuminating examples, it reveals some of the ways our brains influence how we see data and statistics and how we draw incorrect conclusions as a result. By picking apart our cognitive biases and misconceptions, we gain the ability to see data, and in turn, the world, for what it really is.

Privacy is Power (2020) is a shocking exposé of the inner workings of surveillance capitalism. It reveals how, every day, hundreds of interested parties are violating your privacy and capitalizing on your personal data. Corporations, governments, and criminals alike are all busy collecting and exploiting your data in an effort to influence the way you think and behave. In these blinks, you’ll learn why your privacy is so important and what you can do to protect it.

Pegasus (2023) follows the thrilling, worldwide investigation into one of the most powerful and insidious pieces of cyber surveillance software known to date. Beginning with a massive data leak to a small, independent news outlet, it tells the story of how Pegasus came to be, the hundreds of innocent individuals who have had their privacy taken away by it, and the global team of reporters and editors who risked everything to bring the story to light.

Cloudmoney (2022) provides an overview of our present payment landscape. As it turns out, the age-old question of “cash or card” is not as simple as it seems. Underneath the push toward cashless is a murky world of powerful interests trying to extract profit and data from people’s purchases. And the disappearance of cash has more disadvantages than you might think. 

The Alignment Problem (2021) is both a history of the development of AI as well as a prophetic warning about what is to come. From the inherent bias in training data to the extreme speed of progress, Brian Christian details the potential dangers of and solutions to the AI problem.

Marketing 5.0 (2021) introduces the concept of a new era in marketing focused on leveraging technology to improve human lives. It provides strategies and examples demonstrating how the synthesis of advanced data-driven capabilities with human creativity, ethics, and empathy will allow companies to deliver tailored customer experiences amidst a complex, rapidly evolving marketplace.

Prediction Machines (2018) delves into the transformative impact of artificial intelligence on the economics of decision-making. It highlights how AI reduces the cost of predictions, reshapes business problems, and influences decision-making amid uncertainty. The work further explores the value of data in today’s AI-driven economy and the changing dynamics between human labor and automation.