9781938377105-1938377109-Big Data, Big Dupe: A little book about a big bunch of nonsense

Big Data, Big Dupe: A little book about a big bunch of nonsense

ISBN-13: 9781938377105
ISBN-10: 1938377109
Edition: None
Author: Stephen Few
Publication date: 2018
Publisher: Analytics Press
Format: Paperback 96 pages
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Book details

ISBN-13: 9781938377105
ISBN-10: 1938377109
Edition: None
Author: Stephen Few
Publication date: 2018
Publisher: Analytics Press
Format: Paperback 96 pages

Summary

Big Data, Big Dupe: A little book about a big bunch of nonsense (ISBN-13: 9781938377105 and ISBN-10: 1938377109), written by authors Stephen Few, was published by Analytics Press in 2018. With an overall rating of 3.7 stars, it's a notable title among other Databases & Big Data books. You can easily purchase or rent Big Data, Big Dupe: A little book about a big bunch of nonsense (Paperback) from BooksRun, along with many other new and used Databases & Big Data books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.84.

Description

Big Data, Big Dupe is a little book about a big bunch of nonsense. The story of David and Goliath inspires us to hope that something little, when armed with truth, can topple something big that is a lie. This is the author's hope. While others have written about the dangers of Big Data, Stephen Few reveals the deceit that belies its illusory nature. If "data is the new oil," Big Data is the new snake oil. It isn't real. It's a marketing campaign that has distracted us for years from the real and important work of deriving value from data.
Big Data, Big Dupe gives a voice to the small army of data professionals who work silently and unheralded in the trenches to make sense of data. Data professionals (data analysts, statisticians, etc.) struggle to maintain focus amidst the constant distraction of Big Data nonsense. They recognize Big Data for what it is: a meaningless term, but also a well-funded marketing campaign that sends organizations on costly and wasteful pursuits. As IT vendors, consultants, and many academics sing the praises of Big Data, the real work of data sensemaking is being done by seasoned professionals using skills that they developed through years of study and practice. These skills existed long before the nonsense of Big Data arose.

If you're one of these seasoned data professionals, buy this book, confirm that it speaks your truth, and then place copies on the desks of those whose foolish IT strategy and purchasing decisions are wasting your time and subverting your efforts. Data holds great promise, but that promise will forever remain unfulfilled by those who pursue the Big Data illusion rather than investing in the time-proven skills and hard work of data sensemaking.
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