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About the Author
He speaks, teaches, and consults around the world and writes the quarterly "Visual Business Intelligence Newsletter." He is also the author of four other books: "Show Me the Numbers: Designing Tables and Graphs to Enlighten," "Information Dashboard Design: Displaying Data for At-a-Glance Monitoring," "Now You See It: Simple Visualization Techniques for Quantitative Analysis," and "Signal: Understanding What Matters in a World of Noise."
Table of Contents
Note to Readers x
Introduction-Big Data, Big Whoop 1
Why bother exposing the emperor's nakedness?
Chapter 1 Big Data, Big Confusion 5
Big Data lacks meaning. It has never had a commonly accepted definition.
Chapter 2 Big Data, Big Illusion 21
No matter which of Big Data's competing definitions you choose, there is no evidence that it actually exists.
Chapter 3 Big Data, Big Ruse 31
Big Data is nothing but a marketing campaign that was designed to put money in the pockets of technology vendors and their collaborators.
Chapter 4 Big Data, Big Distraction 41
Pursuing Big Data distracts us from doing what's actually needed to derive value from data.
Chapter 5 Big Data, Big Regression 47
Many of Big Data's claims lead us backwards into a less-enlightened age.
Chapter 6 Big Data, Big Brother 61
Big Data is being used to conceal and justify dangerous misuses of our personal data.
Epilogue-Big Data, Big Dare 69
We must abandon Big Data to begin using data in effective ways.