文件名称:
Big.Data.in.Practice.1119231388
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上传时间: 2016-12-16
详细说明： The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data. Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This book fills the knowledge gap by showing how major companies are using big data every day, from an up-close, on-the-ground perspective. From technology, media and retail, to sport teams, government agencies and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety and so much more. Organised for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved and the processes put it place to make it practical, as well as the technical details, challenges and lessons learned from each unique scenario. Learn how predictive analytics helps Amazon, Target, John Deere and Apple understand their customers Discover how big data is behind the success of Walmart, LinkedIn, Microsoft and more Learn how big data is changing medicine, law enforcement, hospitality, fashion, science and banking Develop your own big data strategy by accessing additional reading materials at the end of each chapter Table of Contents Chapter 1 Walmart Chapter 2 CERN Chapter 3 Netflix Chapter 4 Rolls-Royce Chapter 5 Shell Chapter 6 Apixio Chapter 7 Lotus F1 Team Chapter 8 Pendleton & Son Butchers Chapter 9 US Olympic Womens Cycling Team Chapter 10 ZSL Chapter 11 Facebook Chapter 12 John Deere Chapter 13 Royal Bank of Scotland Chapter 14 LinkedIn Chapter 15 Microsoft Chapter 16 Acxiom Chapter 17 US Immigration And Customs Chapter 18 Nest Chapter 19 GE Chapter 20 Etsy Chapter 21 Narrative Science Chapter 22 BBC Chapter 23 Milton Keynes Chapter 24 Palantir Chapter 25 Airbnb Chapter 26 Sprint Chapter 27 Dickeys Barbecue Pit Chapter 28 Caesars Chapter 29 Fitbit Chapter 30 Ralph Lauren Chapter 31 Zynga Chapter 32 Autodesk Chapter 33 Walt Disney Parks and Resorts Chapter 34 Experian Chapter 35 Transport for London Chapter 36 The US Government Chapter 37 IBM Watson Chapter 38 Google Chapter 39 Terra Seismic Chapter 40 Apple Chapter 41 Twitter Chapter 42 Uber Chapter 43 Electronic Arts Chapter 44 Kaggle Chapter 45 Amazon ...展开收缩
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