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

This emerging science can translate myriad phenomena—from the price of airline tickets to the text of millions of books—into searchable form, and uses our increasing computing power to unearth epiphanies that we never could have seen before. A revolution on par with the Internet or perhaps even the printing press, big data will change the way we think about business, health, politics, education, and innovation in the years to come. It also poses fresh threats, from the inevitable end of privacy as we know it to the prospect of being penalized for things we haven’t even done yet, based on big data&rsqu

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"BIG DATA excerpts" according to Joseph J. Leandri. "At its core, big data is about predictions. Though it has been described as part of the branch of computer science called artificial intelligence, and more specifically, an area called machine learning, this characterization is misleading. Big data is not about trying to "teach" a computer to "think" like humans. Instead, it's about applying math to huge quantities of data in order to infer probabilities: the likelihood that an email message is spam; that the typed letters "teh" are supposed to be "the"; that the trajectory and . Good read for those with a need to understand the power of big data This is a great book for those of us that are not data engineers. My only complaint with the information is that I believe the author overstates the risks associated with big data. Still, overall, this book is well written and doesn't require a degree in Information Technology to understand, which I appreciated. I would recommend it for anyone who wants to understand the power of big data, and the true meaning behind the statement, "In God we trust, all others must bring data!". An interesting book but a bit dragged out Jimmy A This book was interesting initially but became a bit repetitive overall. It has three major points in it;1. Sampling was important when collecting data was expensive and difficult, but we now we have access by one means or another to all data.2. Since we have so much data, the quality of individual data points is not important and we can allow inexactness in measurement processes as long as there isn't a systematic bias.3. Causality and understanding why things happen is no longer as important as correlation and discovering the c