---
product_id: 406418905
title: "Big Data, Big Dupe: A little book about a big bunch of nonsense"
price: "₱1783"
currency: PHP
in_stock: true
reviews_count: 5
url: https://www.desertcart.ph/products/406418905-big-data-big-dupe-a-little-book-about-a-big
store_origin: PH
region: Philippines
---

# Fast insights challenging Big Data hype 218 pages of sharp analytics critique Compact, 0.48 lbs of thought-provoking content Big Data, Big Dupe: A little book about a big bunch of nonsense

**Price:** ₱1783
**Availability:** ✅ In Stock

## Summary

> 📉 Cut through the noise—Big Data, Big Dupe exposes the hype you can’t afford to miss!

## Quick Answers

- **What is this?** Big Data, Big Dupe: A little book about a big bunch of nonsense
- **How much does it cost?** ₱1783 with free shipping
- **Is it available?** Yes, in stock and ready to ship
- **Where can I buy it?** [www.desertcart.ph](https://www.desertcart.ph/products/406418905-big-data-big-dupe-a-little-book-about-a-big)

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- Customers looking for quality international products

## Why This Product

- Free international shipping included
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## Key Features

- • **Expert Perspective:** Authored by Stephen Few, a respected voice in data visualization and analytics.
- • **Concise & Impactful:** At just 218 pages, get a powerful dose of critical thinking without the fluff.
- • **Challenge the Status Quo:** Perfect for professionals who question mainstream tech narratives and want to stay ahead.
- • **Unmasking Big Data Myths:** Dive deep into the reality behind the buzzwords and separate fact from fiction.
- • **Fuel Your Data Conversations:** Equip yourself with fresh insights to impress in boardrooms and strategy sessions.

## Overview

Big Data, Big Dupe by Stephen Few is a 218-page critical examination of the Big Data phenomenon, challenging popular assumptions and vendor-driven hype. This compact book offers professionals a fresh perspective on data analytics, emphasizing the importance of causation over mere correlation and encouraging a more thoughtful approach to data-driven decision-making.

## Description

Buy Big Data, Big Dupe: A little book about a big bunch of nonsense by Few, Stephen online on desertcart.ae at best prices. ✓ Fast and free shipping ✓ free returns ✓ cash on delivery available on eligible purchase.

Review: Insightful - I found this book to provide very interesting insights regarding how big data can be used in a useful way in today's world. Big data is not a panacea but rather a good tool, in the same way as data has always been.
Review: Fight against windmills - In this book Stephen Few seems to be fighting a fight that nobody perceives as necessary or framed in the manner that he frames it into. The book can be summarized in 2 points: 1) Big Data is just data. - He argues the above because in his view there is no accepted point in time or measure from which experts have started agreeing that from that point in time or measure, data became big data. He argues that the push of Big Data comes from tech vendors who want to sell their softwares and storage space. *In my view, his point while it could be philosofically mostly valid than not, it is in practice very much irrelevant and could even be falsified by establishing an arbitrary measure from which data can be called Big Data. Indeed, running some statistics and a few graphs 60 years ago with the available data and tech IS much different in scope and size compared to the practice of data analysis that we have today. Stephen Few discounts completely the fact that technology helps and the volume of data available makes a difference. To use one of his arguments, if many years ago you could extract, from example, 10% of insights out of the available data in 1 month, today even if we could keep the 10% insights' extraction, this would be a percentage of a larger volume of data and the time for achieving the result would be much shorter. 2) Correlation is not Causation. He argues -and cites some books on the matter-, that through what he perceives as the fraud of Big Data, certain individuals are pushing for the abandonment of Causation in the pursuit of mindless Correlation between variables in large datasets. *I have graduated in Economics and Finance, and I am currently in post graduate education studying Business Analytics. In every quantitative course that I have ever taken, NOBODY HAS EVER TOLD ME TO TRADE CAUSATION FOR CORRELATION. I also don't feel that this is the trend anywhere else, I have only found this warning in Few's book. Nevertheless, while I am grounded in the pursue of causation, a correlation matrix within the variables of datasets who have lots of records, is just another tool of analytics and it MAY indeed, sometimes, provide useful insights. In conclusion, I am rating this book poorly because I don't perceive the threats that Few's talks about in his book as legit. What I mean is, while I mostly agree in principle with what he says, I don't see like at all, that people started doing what he is warning against. In this book Few reminded me Don Quixote fighting against windmills.

## Features

- Item Trademark: ANALYTICS PRESS
- manufacturer: Analytics Press
- Item Weight: grams, pounds, 0.48060773116, 218.

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Customer Reviews | 4.2 out of 5 stars 48 Reviews |

## Images

![Big Data, Big Dupe: A little book about a big bunch of nonsense - Image 1](https://m.media-amazon.com/images/I/61Tfxfx1rSL.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Insightful
*by M***. on 25 October 2018*

I found this book to provide very interesting insights regarding how big data can be used in a useful way in today's world. Big data is not a panacea but rather a good tool, in the same way as data has always been.

### ⭐⭐ Fight against windmills
*by N***S on 1 January 2023*

In this book Stephen Few seems to be fighting a fight that nobody perceives as necessary or framed in the manner that he frames it into. The book can be summarized in 2 points: 1) Big Data is just data. - He argues the above because in his view there is no accepted point in time or measure from which experts have started agreeing that from that point in time or measure, data became big data. He argues that the push of Big Data comes from tech vendors who want to sell their softwares and storage space. *In my view, his point while it could be philosofically mostly valid than not, it is in practice very much irrelevant and could even be falsified by establishing an arbitrary measure from which data can be called Big Data. Indeed, running some statistics and a few graphs 60 years ago with the available data and tech IS much different in scope and size compared to the practice of data analysis that we have today. Stephen Few discounts completely the fact that technology helps and the volume of data available makes a difference. To use one of his arguments, if many years ago you could extract, from example, 10% of insights out of the available data in 1 month, today even if we could keep the 10% insights' extraction, this would be a percentage of a larger volume of data and the time for achieving the result would be much shorter. 2) Correlation is not Causation. He argues -and cites some books on the matter-, that through what he perceives as the fraud of Big Data, certain individuals are pushing for the abandonment of Causation in the pursuit of mindless Correlation between variables in large datasets. *I have graduated in Economics and Finance, and I am currently in post graduate education studying Business Analytics. In every quantitative course that I have ever taken, NOBODY HAS EVER TOLD ME TO TRADE CAUSATION FOR CORRELATION. I also don't feel that this is the trend anywhere else, I have only found this warning in Few's book. Nevertheless, while I am grounded in the pursue of causation, a correlation matrix within the variables of datasets who have lots of records, is just another tool of analytics and it MAY indeed, sometimes, provide useful insights. In conclusion, I am rating this book poorly because I don't perceive the threats that Few's talks about in his book as legit. What I mean is, while I mostly agree in principle with what he says, I don't see like at all, that people started doing what he is warning against. In this book Few reminded me Don Quixote fighting against windmills.

### ⭐⭐⭐⭐ Non farsi ammaliare dai Big Data
*by M***O on 22 September 2021*

Come contraltare a <i>Caos quotidiano</i> che aveva tessuto le lodi della non-strtutturazione ho preso questo libretto che ha una tesi completamente diversa: i Big Data non sono altro che l'abbindolamento che ci fa chi vende hardware e servizi di rete. Per amor di completezza, Few con i dati ci lavora; la sua tesi però - esposta in capitoli dai titoli esplicativi "Big Data, Big Whoop", "Big Data, Big Confusion", "Big Data, Big Illusion", "Big Data, Big Ruse", "Big Data, Big Distraction", "Big Data, Big Regression", è che in realtà non c'è nulla di davvero nuovo, nemmeno la grandezza relativa dei dati in questione; quello di cui abbiamo bisogno è avere persone in grado di comprendere i dati, e non credere che le macchine possano fare tutto da sole. Quello che funziona in realtà non sono i Big Data, ma per esempio il machine learning. Generalmente io sono d'accordo con Fry, anche se non arrivo alle sue posizioni talebane di un movimento Slow Data. D'altra parte, il penultimo capitolo "Big Data, Big Brother" dimostra che questi dati vengono usati eccome...

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*Product available on Desertcart Philippines*
*Store origin: PH*
*Last updated: 2026-03-05*