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12 Best Big Data Books

Goal: Find the best Big Data books according to the internet (not just one person's opinion).

Method:

  1. Search for "best big data books" and study the top 5+ pages.
  2. Add only the books mentioned 2+ times.
  3. Rank the results neatly here.

12 Best Big Data Books

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1

Too Big to Ignore

The Business Case for Big Data

by Phil Simon

2

Big Data at Work

Dispelling the Myths, Uncovering the Opportunities

by Thomas H. Davenport

3

Weapons of Math Destruction

How Big Data Increases Inequality and Threatens Democracy

by Cathy O'Neil

Also recommended by:

Tom Peters

4

Analytics in a Big Data World

by Bart Baesens

5

Big Data

A Revolution That Will Transform How We Live, Work, and Think

by Viktor Mayer-Schönberger

6

Big Data

A Very Short Introduction

by Dawn E. Holmes

7

Big Data in Practice

How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results

by Bernard Marr

8

Data Science and Big Data Analytics

Discovering, Analyzing, Visualizing and Presenting Data

by EMC Education Services

9

Data Science for Business

What You Need to Know about Data Mining and Data-Analytic Thinking

by Foster Provost

10

Data Smart

Using Data Science to Transform Information into Insight

by John W. Foreman

11

Everybody Lies

Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are

by Seth Stephens-Davidowitz

12

Numsense!

Data Science for the Layman

by Annalyn Ng

Sources

Edited by

Richard Reis

Software engineer whose passion for tracking book recommendations from podcasts inspired the creation of MRB.

Anurag Ramdasan

Lead investor at 3one4 Capital whose startup expertise and love for books helped shaped MRB and its growth.

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