Here are 13 informative and inspirational books on Big Data and Data Science. This is definitely not intended to be a comprehensive list (since a complete list of such readings would itself be a form of "Big Data", and consequently the number of possibilities is a nearly uncountable number!NOTE definition of "uncountable" = an infinite set that contains too many elements to be countable.)
- Big Data: A Revolution That Will Transform How We Live, Work, and T..., by Viktor Mayer-Schonberger and Kenneth Cukier
- The Signal and the Noise: Why So Many Predictions Fail-but Some Don't, by Nate Silver
- Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie..., by Eric Siegel
- The Human Face of Big Data, by Rick Smolan and Jennifer Erwitt
- Data Science for Business: What you need to know about data mining ..., by Foster Provost and Tom Fawcett
- The Black Swan: The Impact of the Highly Improbable, by Nassim Nicholas Taleb
- Competing on Analytics: The New Science of Winning, by Thomas H. Davenport and Jeanne G. Harris
- Super Crunchers: Why Thinking-by-Numbers is the New Way to Be Smart, by Ian Ayres
- Big Data Marketing: Engage Your Customers More Effectively and Driv..., by Lisa Arthur
- Journeys to Data Mining: Experiences from 15 Renowned Researchers, by Mohamed Medhat Gaber (editor)
- The Fourth Paradigm: Data-Intensive Scientific Discovery, by T.Hey, S.Tansley, and K.Tolle (editors)
- Seven Databases in Seven Weeks: A Guide to Modern Databases and the..., by Eric Redmond and Jim Wilson
- Data Mining And Predictive Analysis: Intelligence Gathering And Cri..., by Colleen McCue
And here are two more, as a bonus:
14. A Statistical Guide for the Ethically Perplexed, by Lawrence Hubert and Howard Wainer
15. Too Big To Ignore: The Business Case for Big Data, by Phil Simon
