Steve Lohr, a technology reporter for the New York Times, chronicles the rise of Big Data, addressing cutting-edge business strategies and examining the dark side of a data-driven world.
Coal, iron ore, and oil were the key productive assets that fueled the Industrial Revolution. Today data is the vital raw material of the information economy. The explosive abundance of this digital asset, more than doubling every two years, is creating a new world of opportunity and challenge.
Data-ism is about this next phase, in which vast, Internet-scale data sets are used for discovery and prediction in virtually every field. It is a journey across this emerging world with people, illuminating narrative examples, and insights. It shows that if exploited, this new revolution will change the way decisions are made - relying more on data and analysis and less on intuition and experience - and transform the nature of leadership and management.
Lohr explains how individuals and institutions will need to exploit, protect, and manage their data to stay competitive in the coming years. Filled with rich examples and anecdotes of the various ways in which the rise of Big Data is affecting everyday life, it raises provocative questions about policy and practice that have wide implications for all of our lives.
©2015 Steve Lohr (P)2015 HarperCollins Publishers
This book talks more about use/business cases and its uses, but doesn't delve deeper into data and how to apply it.
Personally I was looking for a more "how to use" book as I go the title from an IT publication, but the cases are still real and interesting.
My name is Dan, and I have an audiobook problem. A drug habit would be cheaper.
This book was a real eye opener. It covers all the was that data in permeating our live now and the promising was it will deliver in the future. From farming to medicine to personality profiles our lives will greatly be impacted by dataism. The future for big data looks bright if I were a kid now I would be wading out into in this water waiting to catch this next big wave that is datisim.
the reader is average. the subject is super important. the "story line" by the author is very bad. basically he is holding a microphone in random places. he is too new in this field.
Couldn't stop listening. Great if you are interested in learning more about data! This book has helped me wrap my thoughts around the concept of Big Data.
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