ISBN 9788126543250,Too Big to Ignore : The Business Case for Big Data

Too Big to Ignore : The Business Case for Big Data

Author:

Phil Simon

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ISBN 9788126543250
Publisher

Wiley India Pvt Ltd

Publication Year 2013
ISBN-13

ISBN 9788126543250

ISBN-10 8126543256
Binding

Paperback

Number of Pages 756 Pages
Language (English)
Subject

Computer software

In Too Big to Ignore, recognized technology expert and award-winning author Phil Simon explores an unassailably important trend: Big Data, the massive amounts, new types and multifaceted sources of information streaming at us faster than ever. Never before have we seen data with the volume, velocity and variety of today. Big Data is no temporary blip of fad. In fact, it is only going to intensify in the coming years and its ramifications for the future of business are impossible to overstate. Too Big to Ignoreexplains why Big Data is a big deal. Simon provides commonsense, jargon-free advice for people and organizations looking to understand and leverage Big Data. Rife with case studies, examples, analysis, and quotes from real-world Big Data practitioners, the book is required reading for chief executives, company owners, industry leaders, and business professionals. Was this product information helpful? Yes No TABLE OF CONTENTS Chapter 1 Data 101 and the Data Deluge The Beginnings: Structured Data Structure This! Web 2.0 and the Arrival of Big Data The Composition of Data: Then and Now The Current State of the Data Union The Enterprise and the Brave New Big Data World Summary Notes Chapter 2 Demystifying Big Data Characteristics of Big Data The Anti-Definition: What Big Data Is Not Summary Notes Chapter 3 The Elements of Persuasion: Big Data Techniques The Big Overview Statistical Techniques and Methods Data Visualization Automation Semantics Big Data and the Gang of Four Predictive Analytics Limitations of Big Data Summary Notes Chapter 4 Big Data Solutions Projects, Applications and Platforms Other Data Storage Solutions Websites, Start-ups and Web Services Hardware Considerations The Art and Science of Predictive Analytics Summary Notes Chapter 5 Case Studies: The Big Rewards of Big Data Quantcast A Small Big Data Company Explorys: The Human Case for Big Data NASA How Contests, Gamification and Open Innovation Enable Big Data Summary Notes Chapter 6 Taking the Big Plunge Before Starting Starting the Journey Avoiding the Big Pitfalls Chapter 7 Big Data Big Issues and Big Problems Privacy Big Data = Big Brother? Big Security Concerns Big, Pragmatic Issues Chapter 8 Looking Forward: The Future of Big Data Predicting Pregnancy Big Data Is Here to Stay Big Data Will Evolve Projects and Movements Big Data Will Only Get Bigger and Smarter The Internet of Things: The Move from Active to Passive Data Generation Big Data: No Longer a Big Luxury Stasis Is Not an Option Summary Notes Final Thoughts Spreading the Big Data Gospel Notes Selected Bibliography About the Author
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