Os melhores 45 livros sobre Big Data

In the world of data, understanding Big Data is crucial for unlocking insights that drive innovation and decision-making. Our selected book list on Big Data offers a comprehensive exploration of this complex subject, providing readers with the tools to navigate and thrive in the data-driven landscape.

Dive into these insightful titles to gain a solid foundation in Big Data and its real-world applications. Ready to enhance your knowledge and harness the power of data? Let's start exploring these enriching reads together!

Os melhores 45 livros sobre Big Data
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1
Livros sobre Big Data: Big Data por Viktor Mayer-Schönberger and Kenneth Cukier

Big Data

Viktor Mayer-Schönberger and Kenneth Cukier
A Revolution That Will Transform How We Live, Work and Think
4.3 (138 avaliações)
Ouça a Introdução
00:00

Sobre o que é Big Data?

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.

Quem deveria ler Big Data?

  • Anyone who is interested in learning more about what “big data” is and what it means for society
  • Anyone who is looking to make a career using big data
  • Anyone from a company who is looking for opportunities to use the data the company collects

2
Livros sobre Big Data: Too Big to Ignore por Phil Simon

Too Big to Ignore

Phil Simon
The Business Case for Big Data
4.1 (15 avaliações)
Ouça a Introdução
00:00

Sobre o que é Too Big to Ignore?

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.

Quem deveria ler Too Big to Ignore?

  • Anyone interested in entrepreneurship or business
  • Anyone interested in technology
  • Anyone looking to use Big Data in their company

3
Livros sobre Big Data: Super Crunchers por Ian Ayres

Super Crunchers

Ian Ayres
Why Thinking-by-Numbers Is the New Way to be Smart
3.6 (29 avaliações)
Ouça a Introdução
00:00

Sobre o que é Super Crunchers?

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.

Quem deveria ler Super Crunchers?

  • Anyone interested in the power of statistics
  • Computer and math nerds
  • Business owners, politicians and baseball coaches

4
Livros sobre Big Data: Small Data por Martin Lindstrom

Small Data

Martin Lindstrom
The Tiny Clues That Uncover Huge Trends
3.9 (57 avaliações)
Ouça a Introdução
00:00

Sobre o que é Small Data?

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.

Quem deveria ler Small Data?

  • Marketing professionals and students of human behavior.
  • Anyone working to establish a brand.

5
Livros sobre Big Data: It’s Not the Size of the Data por Koen Pauwels

It’s Not the Size of the Data

Koen Pauwels
It’s How You Use It
3.5 (26 avaliações)
Ouça a Introdução
00:00

Sobre o que é It’s Not the Size of the Data?

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.

Quem deveria ler It’s Not the Size of the Data?

  • People who believe in the power of numbers and how they can inform logical decision making
  • Marketing innovators confident that they can benefit from data-driven marketing

6
Livros sobre Big Data: The Master Algorithm por Pedro Domingos

The Master Algorithm

Pedro Domingos
How The Quest For The Ultimate Learning Machine Will Remake Our World
4.4 (198 avaliações)
Ouça a Introdução
00:00

Sobre o que é The Master Algorithm?

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.

Quem deveria ler The Master Algorithm?

  • Entrepreneurs who want to connect producers and customers
  • Tech junkies interested in the next big technological evolution
  • Anyone concerned about how their personal data is being used

7
Livros sobre Big Data: Everybody Lies por Seth Stephens-Davidowitz

Everybody Lies

Seth Stephens-Davidowitz
Big Data, New Data and What the Internet Can Tell Us About Who We Really Are
4.0 (141 avaliações)
Ouça a Introdução
00:00

Sobre o que é Everybody Lies?

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.

Quem deveria ler Everybody Lies?

  • Anyone interested in the complex nature of human behavior
  • Media studies experts and social scientists
  • Anyone concerned about the power of the internet and online privacy

8
Livros sobre Big Data: Weapons of Math Destruction por Cathy O’Neil

Weapons of Math Destruction

Cathy O’Neil
How Big Data Increases Inequality and Threatens Democracy
4.1 (207 avaliações)
Ouça a Introdução
00:00

Sobre o que é Weapons of Math Destruction?

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.

Quem deveria ler Weapons of Math Destruction?

  • Students and enthusiasts of computer science and statistics
  • Internet activists
  • Readers worried about their privacy rights

9
Livros sobre Big Data: Sensemaking por Christian Madsbjerg

Sensemaking

Christian Madsbjerg
What Makes Human Intelligence Essential in the Age of the Algorithm
4.0 (39 avaliações)
Ouça a Introdução
00:00

Sobre o que é Sensemaking?

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.

Quem deveria ler Sensemaking?

  • Devotees of the human sciences, philosophers, linguists and historians
  • Students of STEM looking to expand their potential
  • Business leaders and entrepreneurs

10
Livros sobre Big Data: Streaming, Sharing, Stealing por Michael D. Smith and Rahul Telang

Streaming, Sharing, Stealing

Michael D. Smith and Rahul Telang
Big Data and the Future of Entertainment
3.5 (37 avaliações)
Ouça a Introdução
00:00

Sobre o que é Streaming, Sharing, Stealing?

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.

Quem deveria ler Streaming, Sharing, Stealing?

  • Publishers and policy makers
  • Technology enthusiasts interested in big data and analytics
  • Media, film and music students

11
Livros sobre Big Data: Frenemies por Ken Auletta

Frenemies

Ken Auletta
The Epic Disruption of the Advertising Industry (and Everything Else)
4.2 (24 avaliações)
Ouça a Introdução
00:00

Sobre o que é Frenemies?

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.

Quem deveria ler Frenemies?

  • Advertising and marketing professionals seeking outside perspective on their industry
  • Corporate marketing executives trying to connect with their audience
  • Curious readers interested in the disruptive effect of technology on traditional industries

12
Livros sobre Big Data: AI Superpowers por Kai-Fu Lee

AI Superpowers

Kai-Fu Lee
China, Silicon Valley, and the New World Order
4.3 (543 avaliações)
Ouça a Introdução
00:00

Sobre o que é AI Superpowers?

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.

Quem deveria ler AI Superpowers?

  • Anyone curious about artificial intelligence
  • Executives interested in emerging markets
  • Futurists and technocrats

13
Livros sobre Big Data: The People Vs Tech por Jamie Bartlett

The People Vs Tech

Jamie Bartlett
How the Internet is Killing Democracy (And How We Save It)
4.6 (67 avaliações)
Ouça a Introdução
00:00

Sobre o que é The People Vs Tech?

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.

Quem deveria ler The People Vs Tech?

  • Citizens concerned about how the internet is impacting society 
  • Workers who fear their jobs may be replaced by AI
  • Fans of dystopian science fiction literature, movies, and television series

14
Livros sobre Big Data: The Four por Scott Galloway

The Four

Scott Galloway
The Hidden DNA of Amazon, Apple, Facebook and Google
4.1 (178 avaliações)
Ouça a Introdução
00:00

Sobre o que é The Four?

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?

Quem deveria ler The Four?

  • Facebook and iPhone users
  • Anyone who regularly performs searches on Google, shops on Amazon, uses an Apple device or spends time on Facebook
  • Business enthusiasts and business analysts

15
Livros sobre Big Data: New Dark Age por James Bridle

New Dark Age

James Bridle
Technology and the End of the Future
4.0 (99 avaliações)
Ouça a Introdução
00:00

Sobre o que é New Dark Age?

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.

Quem deveria ler New Dark Age?

  • Tech skeptics and tech enthusiasts
  • Critical thinkers fascinated by the geopolitics of our networked world
  • Anyone interested in the silly and profound ways technology shapes our lives

16
Livros sobre Big Data: Mindf*ck por Christopher Wylie

Mindf*ck

Christopher Wylie
Cambridge Analytica and the Plot to Break America
4.5 (142 avaliações)
Ouça a Introdução
00:00

Sobre o que é Mindf*ck?

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.

Quem deveria ler Mindf*ck?

  • Americans who want to understand Cambridge Analytica’s role in the Trump election
  • Left- and right-wingers feeling increasingly resentful of the other side
  • Brits interested in why the Brexit referendum turned out the way it did

17
Livros sobre Big Data: Calling Bullshit por Carl T. Bergstrom, Jevin D. West

Calling Bullshit

Carl T. Bergstrom, Jevin D. West
The Art of Skepticism in a Data-Driven World
4.4 (132 avaliações)
Ouça a Introdução
00:00

Sobre o que é Calling Bullshit?

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.

Quem deveria ler Calling Bullshit?

  • Popular science fans who want to see behind the curtain
  • Data nerds who want to learn more
  • Concerned citizens eager to fight misinformation

18
Livros sobre Big Data: The Data Detective por Tim Harford

The Data Detective

Tim Harford
Ten Easy Rules to Make Sense of Statistics
4.4 (316 avaliações)
Ouça a Introdução
00:00

Sobre o que é The Data Detective?

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.

Quem deveria ler The Data Detective?

  • News and social media addicts
  • Avid consumers of scientific articles and research
  • Anyone who regularly comes into contact with data or statistics

19
Livros sobre Big Data: Privacy Is Power por Carissa Véliz

Privacy Is Power

Carissa Véliz
Why and How You Should Take Back Control of Your Data
4.5 (230 avaliações)
Ouça a Introdução
00:00

Sobre o que é Privacy Is Power?

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.

Quem deveria ler Privacy Is Power?

  • Those perturbed by governments and corporations snooping on our private lives
  • People untroubled by digital surveillance because they believe they have nothing to hide
  • Anyone looking for actionable ways to protect their privacy now

20
Livros sobre Big Data: Pegasus por Laurent Richard and Sandrine Rigaud

Pegasus

Laurent Richard and Sandrine Rigaud
How a Spy in Our Pocket Threatens the End of Privacy, Dignity, and Democracy
4.3 (300 avaliações)
Ouça a Introdução
00:00

Sobre o que é Pegasus?

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.

Quem deveria ler Pegasus?

  • Followers of the Pegasus Project and other cyber security international bombshells like the Panama Papers, or Wikileaks.
  • Fans of investigative journalism who want to know the stories behind the reports that shake the world.
  • Anyone who owns a phone and wants to know just how fragile their privacy really is.

21
Livros sobre Big Data: Cloudmoney por Brett Scott

Cloudmoney

Brett Scott
Cash, Cards, Crypto, and the War for Our Wallets
4.1 (540 avaliações)
Ouça a Introdução
00:00

Sobre o que é Cloudmoney?

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. 

Quem deveria ler Cloudmoney?

  • Literally everyone – we all use money
  • Anyone considering getting rid of cash altogether
  • Students of finance, economics, or politics

22
Livros sobre Big Data: The Alignment Problem por Brian Christian

The Alignment Problem

Brian Christian
Machine Learning and Human Values
2.9 (95 avaliações)
Ouça a Introdução
00:00

Sobre o que é The Alignment Problem?

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.

Quem deveria ler The Alignment Problem?

  • Science and tech enthusiasts
  • Those interested in AI
  • Students of history and technology

23
Livros sobre Big Data: Marketing 5.0 por Philip Kotler & Hermawan Kartajaya & Iwan Setiawan

Marketing 5.0

Philip Kotler & Hermawan Kartajaya & Iwan Setiawan
Technology for Humanity
4.2 (116 avaliações)
Ouça a Introdução
00:00

Sobre o que é Marketing 5.0?

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.

Quem deveria ler Marketing 5.0?

  • Marketing professionals
  • Brand managers
  • Business leaders

24
Livros sobre Big Data: Prediction Machines por Ajay Agrawal, Joshua Gans & Avi Goldfarb

Prediction Machines

Ajay Agrawal, Joshua Gans & Avi Goldfarb
The Simple Economics of Artificial Intelligence
4.0 (382 avaliações)
Ouça a Introdução
00:00

Sobre o que é Prediction Machines?

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.

Quem deveria ler Prediction Machines?

  • Entrepreneurs looking to leverage AI in their startups
  • Business students looking at the future of industries influenced by AI
  • Tech enthusiasts curious about the intersection of AI and economics

25
Livros sobre Big Data: Tokens por Rachel O'Dwyer

Tokens

Rachel O'Dwyer
The Future of Money in the Age of the Platform
3.7 (53 avaliações)
Ouça a Introdução
00:00

Sobre o que é Tokens?

Tokens (2023) looks at the transformation of traditional monetary systems in the digital era, highlighting how various forms of digital tokens are increasingly replacing conventional currency. It explores the implications of this shift, particularly focusing on the role of digital platforms in creating new types of economic exchange, ownership, and governance models.

Quem deveria ler Tokens?

  • Financial technology professionals and cryptocurrency enthusiasts
  • Tech entrepreneurs exploring new payment systems
  • Anyone interested in the future of digital currency

26
Livros sobre Big Data: Power And Prediction por Ajay Agrawal, Joshua Gans & Avi Goldfarb

Power And Prediction

Ajay Agrawal, Joshua Gans & Avi Goldfarb
The Disruptive Economics of Artificial Intelligence
3.2 (81 avaliações)
Ouça a Introdução
00:00

Sobre o que é Power And Prediction?

Power And Prediction (2018) explores the impact of AI's advancements in prediction on decision-making processes, where AI handles the predictive elements and human judgment is important in their interpretation and application.

Quem deveria ler Power And Prediction?

  • AI enthusiasts
  • Business leaders
  • Career strategists

27
Livros sobre Big Data: A History of Fake Things on the Internet por Walter Scheirer

A History of Fake Things on the Internet

Walter Scheirer
2.7 (37 avaliações)
Ouça a Introdução
00:00

Sobre o que é A History of Fake Things on the Internet?

A History of Fake Things on the Internet (2023) explores the origins and evolution of digitally fabricated content, from early photo manipulation to today’s AI-generated deep fakes, analyzing key technological advances that made new forms of deception possible, and tracing their real-world impact back to fundamental aspects of human behavior. It argues that problems stemming from fake online content relate more to creativity and destruction inherent in human nature, rather than the nature of the faked content itself.

Quem deveria ler A History of Fake Things on the Internet?

  • Technology historians
  • Media literacy advocates
  • Anyone interested in information security

28
Livros sobre Big Data: SEO 2024 por Adam Clarke

SEO 2024

Adam Clarke
Learn search engine optimization with smart internet marketing strategies
4.0 (29 avaliações)
Ouça a Introdução
00:00

Sobre o que é SEO 2024?

SEO 2024 (2024) is an indispensable resource for anyone looking to improve their online visibility and drive more traffic to their site. It breaks down the complexities of search engine optimization (SEO) into easy-to-understand concepts and actionable strategies, providing the tools to outrank competitors and attract customers.

Quem deveria ler SEO 2024?

  • Startups seeking cost-effective ways to grow their online presence
  • Small business owners looking to improve their online visibility and attract more customers
  • Website owners and bloggers aiming to increase their organic traffic and search engine rankings

29
Livros sobre Big Data: Quantum Marketing por Raja Rajamannar

Quantum Marketing

Raja Rajamannar
Mastering the New Marketing Mindset for Tomorrow's Consumers
4.0 (63 avaliações)
Ouça a Introdução
00:00

Sobre o que é Quantum Marketing?

Quantum Marketing (2021) explains the revolutionary marketing strategies necessary for businesses to remain relevant in today’s rapidly evolving technological landscape. From managing the explosion of data to forging strategic partnerships, it offers a thought-provoking guide to navigating the challenges and opportunities presented by this new era of business.

Quem deveria ler Quantum Marketing?

  • Marketing professionals seeking to stay ahead of the curve in an ever-changing industry
  • Entrepreneurs aiming to understand and leverage cutting-edge marketing strategies
  • Consumers curious about how marketing will shape their interactions with brands in the coming years

30
Livros sobre Big Data: Proximity por Robert C. Wolcott & Kaihan Krippendorff

Proximity

Robert C. Wolcott & Kaihan Krippendorff
Just-In-Time Breakthroughs to Transform Business and Life
4.0 (77 avaliações)
Ouça a Introdução
00:00

Sobre o que é Proximity?

Proximity (2024) explores how digital technologies are revolutionizing production and service delivery, enabling on-demand fulfillment with minimal environmental impact. It examines the implications of this trend across industries and how it will transform business strategies, supply chains, and sustainability efforts.

Quem deveria ler Proximity?

  • Business leaders and entrepreneurs looking to innovate their business models
  • Tech-savvy consumers excited about personalization and on-demand services
  • Anyone frustrated by the waste and inefficiency of the current mass-production paradigm

31
Livros sobre Big Data: The Formula por Joshua Robinson, Jonathan Clegg

The Formula

Joshua Robinson, Jonathan Clegg
How Geniuses and Speed Freaks Made F1 the Fastest-Growing Sport
4.3 (92 avaliações)
Ouça a Introdução
00:00

Sobre o que é The Formula?

The Formula (2024) chronicles the evolution of Formula 1 from its post-World War II origins to its current status as a global entertainment powerhouse. It follows the larger-than-life personalities that have shaped the sport through technological innovations and business strategies, and their attempt to balance the pursuit of engineering excellence with the demands of commercial success.

Quem deveria ler The Formula?

  • Formula 1 enthusiasts seeking deeper insights
  • Sports business aficionados interested in high-stakes drama and growth strategy
  • Readers captivated by stories of innovation and success

32
Livros sobre Big Data: The Mind's Mirror por Gregory Mone, Daniela Rus

The Mind's Mirror

Gregory Mone, Daniela Rus
Risk and Reward in the Age of AI
4.3 (184 avaliações)
Ouça a Introdução
00:00

Sobre o que é The Mind's Mirror?

The Mind's Mirror (2024) explores the possibilities and risks of artificial intelligence. Aiming to provide readers with an understanding of AI's workings, it explores how AI can enhance human capabilities across various fields, while also addressing the societal challenges it presents. 

Quem deveria ler The Mind's Mirror?

  • Tech enthusiasts interested in the latest AI developments
  • Curious people who want to understand how neural networks function
  • Anyone who want to understand how AI is shaping our world

33
Livros sobre Big Data: Making Sense of Chaos por J Doyne Farmer

Making Sense of Chaos

J Doyne Farmer
A Better Economics for a Better World
3.9 (18 avaliações)
Ouça a Introdução
00:00

Sobre o que é Making Sense of Chaos?

Making Sense of Chaos (2024) offers a fresh take on our complex economic world through the lens of complexity economics. It explores new computational tools and models that address issues like inflation, inequality, and financial crises – and shows how we can make better predictions and craft smarter policies in an increasingly interconnected and turbulent global economy.

Quem deveria ler Making Sense of Chaos?

  • Economics enthusiasts
  • Tech and data science buffs
  • Policymakers and analysts

34
Livros sobre Big Data: Nexus por Yuval Noah Harari

Nexus

Yuval Noah Harari
A Brief History of Information Networks from the Stone Age to AI
4.3 (486 avaliações)
Ouça a Introdução
00:00

Sobre o que é Nexus?

Nexus (2024) explores how information networks, from storytelling and books to the internet and AI, have shaped human history. It lays bare the risks technology currently poses to these networks and defines the critical decisions humanity must make to safeguard information, power, order, and truth.

Quem deveria ler Nexus?

  • History lovers who want to uncover the fascinating history of information
  • Futurists wondering what’s next for information technology
  • Ethicists invested in the moral implications of the digital revolution

35
Livros sobre Big Data: Too Smart por Jathan Sadowski

Too Smart

Jathan Sadowski
How Digital Capitalism Is Taking Over the World
4.0 (132 avaliações)
Ouça a Introdução
00:00

Sobre o que é Too Smart?

Too Smart (2020) examines the hidden costs and societal impacts of our increasingly connected digital world. It reveals how smart technologies, while promising convenience and efficiency, are fundamentally altering power dynamics, economies, and personal freedoms by extracting and commodifying our data.

Quem deveria ler Too Smart?

  • Tech enthusiasts curious about the broader implications of smart devices
  • Privacy advocates concerned about data collection and surveillance
  • Anyone looking to make more informed decisions about their digital habits

36
Livros sobre Big Data: The Art of SEO por Eric Enge, Stephan Spencer, Jessie Stricchiola

The Art of SEO

Eric Enge, Stephan Spencer, Jessie Stricchiola
Mastering Search Engine Optimization
3.5 (26 avaliações)
Ouça a Introdução
00:00

Sobre o que é The Art of SEO?

The Art of SEO (2023) offers a comprehensive guide to search engine optimization, covering everything from basic methods to advanced tactics. It provides insights into the complexities of internet search, the inner workings of search engines, and the latest SEO tools and methods, including generative AI. 

Quem deveria ler The Art of SEO?

  • Digital marketers looking to refine their SEO strategies
  • Entrepreneurs aiming to increase their online visibility
  • Web developers seeking to optimize website performance

37
Livros sobre Big Data: Storytelling with Data por Cole Nussbaumer Knaflic

Storytelling with Data

Cole Nussbaumer Knaflic
A Data Visualization Guide for Business Professionals
4.3 (47 avaliações)
Ouça a Introdução
00:00

Sobre o que é Storytelling with Data?

Storytelling with Data (2015) is your guide to transforming data into clear and compelling visual narratives. Through actionable tips and examples, it shows how to simplify complex information, select the right visual elements, and design with intent so you can effectively communicate your insights. 

Quem deveria ler Storytelling with Data?

  • Data-driven professionals crafting impactful business presentations
  • Aspiring storytellers improving data communication
  • Anyone interested in data visualization principles

38
Livros sobre Big Data: Money in the Twenty-First Century por Richard Holden

Money in the Twenty-First Century

Richard Holden
Cheap, Mobile, and Digital
4.1 (56 avaliações)
Ouça a Introdução
00:00

Sobre o que é Money in the Twenty-First Century?

Money in the Twenty-First Century (2024) explores how technological shifts are reshaping the nature and function of money. It examines the rise of digital currencies, mobile payment systems, and low-interest economic environments, highlighting their impact on financial institutions and global economies.

Quem deveria ler Money in the Twenty-First Century?

  • Professionals exploring the future of finance
  • Tech-savvy minds interested in digital currencies
  • Anyone seeking insight into modern money

39
Livros sobre Big Data: The Insight-Driven Leader por Jenny Dearborn, Kelly Rider

The Insight-Driven Leader

Jenny Dearborn, Kelly Rider
How High-Performing Companies Use Analytics to Unlock Value
3.9 (28 avaliações)
Ouça a Introdução
00:00

Sobre o que é The Insight-Driven Leader?

The Insight-Driven Leader (2025) explores how companies can use people analytics to solve complex business challenges and drive performance. With real-world examples, it presents a practical framework for turning workforce data into strategic insights that inform better decision-making and lead to measurable impact.

Quem deveria ler The Insight-Driven Leader?

  • Data-savvy HR and talent leaders
  • Strategic executives driving organizational transformation
  • Curious professionals interested in workplace analytics

40
Livros sobre Big Data: The Magic of Code por Samuel Arbesman

The Magic of Code

Samuel Arbesman
How Digital Language Created and Connects Our World
4.4 (41 avaliações)
Ouça a Introdução
00:00

Sobre o que é The Magic of Code?

The Magic of Code (2025) argues that code functions as the fundamental building block of our digital world, with the power to create virtual worlds, connect people globally, and serve as a gateway to understanding connections among diverse fields like language, mythology, and human thought patterns. 

Quem deveria ler The Magic of Code?

  • Curious non-techies ready to discover the hidden magic shaping their reality
  • Burnt-out programmers who need to reignite their love of code
  • Artists who want to unlock a new creative medium

41
Livros sobre Big Data: Data por Mark O'Donnell, Angela Kalemis, Mark Stanley

Data

Mark O'Donnell, Angela Kalemis, Mark Stanley
Harness Your Numbers to Go from Uncertain to Unstoppable
4.2 (103 avaliações)
Ouça a Introdução
00:00

Sobre o que é Data?

Data (2025) offers a practical framework to move your business from a source of constant anxiety to a predictable and manageable enterprise. You’ll learn to replace gut feelings with objective facts by identifying the few key numbers that give you a true pulse on your company's health. This shift provides the clarity and confidence to lead effectively and achieve the freedom you've been working for.

Quem deveria ler Data?

  • Entrepreneurs feeling stuck and overwhelmed by their business
  • Leadership teams seeking alignment and objective performance metrics
  • Managers who want to empower their teams with clarity

42
Livros sobre Big Data: Robin Hood Math por Noah Giansiracusa

Robin Hood Math

Noah Giansiracusa
Take Control of the Algorithms That Run Your Life
4.1 (56 avaliações)
Ouça a Introdução
00:00

Sobre o que é Robin Hood Math?

Robin Hood Math (2025) is your backstage pass to the hidden math running rankings, credit scores, and the feeds you didn’t choose. The good news is, by familiarizing yourself with these formulas, you can gain a street-smart toolkit that will help you build your own rankings, average predictions the right way, update beliefs, and “train” your social algorithms. It’s a practical playbook to take back a little power – both online and off.

Quem deveria ler Robin Hood Math?

  • Anyone tired of being fed junk on their social media feeds
  • Creators and marketers curious about the math behind a viral video
  • People interested in the ethics of modern technology

43
Livros sobre Big Data: Decision-Driven Analytics por Bart de Langhe & Stefano Puntoni

Decision-Driven Analytics

Bart de Langhe & Stefano Puntoni
Leveraging Human Intelligence to Unlock the Power of Data
4.4 (49 avaliações)
Ouça a Introdução
00:00

Sobre o que é Decision-Driven Analytics?

Decision-Driven Analytics (2024) challenges the traditional approach of data-driven decision-making by proposing that organizations should begin with the decisions they need to make rather than starting with available data. It presents a framework built on four pillars that helps bridge the gap between data analysts and business decision-makers, addressing the common problem of the failure of analytics efforts when data analysis becomes disconnected from actual business decisions. Rather than treating data as the starting point, this approach emphasizes human judgment in determining which questions matter most for organizational impact.

Quem deveria ler Decision-Driven Analytics?

  • Professionals drowning in data seeking clearer decision-making strategies
  • Managers bridging gaps between analytics teams and business goals
  • Leaders questioning whether more data actually improves their choices

44
Livros sobre Big Data: Growth Data Analytics Playbook por Mengying Li, Joe Kumar, Yuzheng Sun

Growth Data Analytics Playbook

Mengying Li, Joe Kumar, Yuzheng Sun
How to Turn Gut Instinct into Data-Driven Product Growth
4.3 (45 avaliações)
Ouça a Introdução
00:00

Sobre o que é Growth Data Analytics Playbook?

Growth Data Analytics Playbook (2025) gives you the analytical frameworks needed to move from gut instinct to data-informed decisions when scaling products. You’ll learn how to quantify product-market fit through retention, identify high-value power users, and put the mechanics of sustainable growth into practice. This guide helps you see past vanity metrics and build self-reinforcing loops that drive long-term success.

Quem deveria ler Growth Data Analytics Playbook?

  • Data scientists seeking actionable frameworks for product scaling
  • Product managers wanting to move beyond vanity metrics
  • Startup founders needing to validate product-market fit

45
Livros sobre Big Data: Data as a Service por Pushpak Sarkar

Data as a Service

Pushpak Sarkar

Sobre o que é Data as a Service?

Data as a Service by Pushpak Sarkar explores the concept of providing data on-demand to users, applications, and other systems. It delves into the technical and business aspects of DaaS, discussing its benefits, challenges, and best practices. The book offers practical guidance for organizations looking to adopt DaaS and leverage their data assets effectively.

Quem deveria ler Data as a Service?

  • Business leaders and decision-makers looking to leverage data for strategic advantage

  • IT professionals and data architects seeking to implement data as a service solutions

  • Entrepreneurs and startups aiming to build innovative data-driven products and services


Tópicos Relacionados

Livros sobre Big Data
 Perguntas Frequentes 

What's the best Big Data book to read?

While choosing just one book about a topic is always tough, many people regard Big Data as the ultimate read on Big Data.

What are the Top 10 Big Data books?

Blinkist curators have picked the following:
  • Big Data by Viktor Mayer-Schönberger and Kenneth Cukier
  • Too Big to Ignore by Phil Simon
  • Super Crunchers by Ian Ayres
  • Small Data by Martin Lindstrom
  • It’s Not the Size of the Data by Koen Pauwels
  • The Master Algorithm by Pedro Domingos
  • Everybody Lies by Seth Stephens-Davidowitz
  • Weapons of Math Destruction by Cathy O’Neil
  • Sensemaking by Christian Madsbjerg
  • Streaming, Sharing, Stealing by Michael D. Smith and Rahul Telang

Who are the top Big Data book authors?

When it comes to Big Data, these are the authors who stand out as some of the most influential:
  • Viktor Mayer-Schönberger and Kenneth Cukier
  • Phil Simon
  • Ian Ayres
  • Martin Lindstrom
  • Koen Pauwels

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