Big Data in Practice

Оглавление

Марр Бернард. Big Data in Practice

INTRODUCTION

1. WALMART. How Big Data Is Used To Drive Supermarket Performance

2. CERN. Unravelling The Secrets Of The Universe With Big Data

3. NETFLIX. How Netflix Used Big Data To Give Us The Programmes We Want

4. ROLLS-ROYCE. How Big Data Is Used To Drive Success In Manufacturing

5. SHELL. How Big Oil Uses Big Data

6. APIXIO. How Big Data Is Transforming Healthcare

7. LOTUS F1 TEAM. How Big Data Is Essential To The Success Of Motorsport Teams

8. PENDLETON & SON BUTCHERS1. Big Data For Small Business

9. US OLYMPIC WOMEN’S CYCLING TEAM. How Big Data Analytics Is Used To Optimize Athletes’ Performance

10. ZSL. Big Data In The Zoo And To Protect Animals

11. FACEBOOK. How Facebook Use Big Data To Understand Customers

12. JOHN DEERE. How Big Data Can Be Applied On Farms

13. ROYAL BANK OF SCOTLAND. Using Big Data To Make Customer Service More Personal

14. LINKEDIN. How Big Data Is Used To Fuel Social Media Success

15. MICROSOFT. Bringing Big Data To The Masses

16. ACXIOM. Fuelling Marketing With Big Data

17. US IMMIGRATION AND CUSTOMS. How Big Data Is Used To Keep Passengers Safe And Prevent Terrorism

18. NEST. Bringing The Internet of Things Into The Home

19. GE. How Big Data Is Fuelling The Industrial Internet

20. ETSY. How Big Data Is Used In A Crafty Way

21. NARRATIVE SCIENCE. How Big Data Is Used To Tell Stories

22. BBC. How Big Data Is Used In The Media

23. MILTON KEYNES. How Big Data Is Used To Create Smarter Cities

24. PALANTIR. How Big Data Is Used To Help The CIA And To Detect Bombs In Afghanistan

25. AIRBNB. How Big Data Is Used To Disrupt The Hospitality Industry

26. SPRINT. Profiling Audiences Using Mobile Network Data

27. DICKEY’S BARBECUE PIT. How Big Data Is Used To Gain Performance Insights Into One Of America’s Most Successful Restaurant Chains

28. CAESARS. Big Data At The Casino

29. FITBIT. Big Data In The Personal Fitness Arena

30. RALPH LAUREN. Big Data In The Fashion Industry

31. ZYNGA. Big Data In The Gaming Industry

32. AUTODESK. How Big Data Is Transforming The Software Industry

33. WALT DISNEY PARKS AND RESORTS. How Big Data Is Transforming Our Family Holidays

34. EXPERIAN. Using Big Data To Make Lending Decisions And To Crack Down On Identity Fraud

35. TRANSPORT FOR LONDON. How Big Data Is Used To Improve And Manage Public Transport In London

36. THE US GOVERNMENT. Using Big Data To Run A Country

37. IBM WATSON. Teaching Computers To Understand And Learn

38. GOOGLE. How Big Data Is At The Heart Of Google’s Business Model

39. TERRA SEISMIC. Using Big Data To Predict Earthquakes

40. APPLE. How Big Data Is At The Centre Of Their Business

41. TWITTER. How Twitter And IBM Deliver Customer Insights From Big Data

42. UBER. How Big Data Is At The Centre Of Uber’s Transportation Business

43. ELECTRONIC ARTS. Big Data In Video Gaming

44. KAGGLE. Crowdsourcing Your Data Scientist

45. AMAZON. How Predictive Analytics Are Used To Get A 360-Degree View Of Consumers

FINAL THOUGHTS

ABOUT THE AUTHOR

ACKNOWLEDGEMENTS

Index

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Отрывок из книги

We are witnessing a movement that will completely transform any part of business and society. The word we have given to this movement is Big Data and it will change everything, from the way banks and shops operate to the way we treat cancer and protect our world from terrorism. No matter what job you are in and no matter what industry you work in, Big Data will transform it.

Some people believe that Big Data is just a big fad that will go away if they ignore it for long enough. It won’t! The hype around Big Data and the name may disappear (which wouldn’t be a great loss), but the phenomenon will stay and only gather momentum. What we call Big Data today will simply become the new normal in a few years’ time, when all businesses and government organizations use large volumes of data to improve what they do and how they do it.

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On top of that it pulls in data from 200 other sources, including meteorological data, economic data, telecoms data, social media data, gas prices and a database of events taking place in the vicinity of Walmart stores.

Walmart’s real-time transactional database consists of 40 petabytes of data. Huge though this volume of transactional data is, it only includes from the most recent weeks’ data, as this is where the value, as far as real-time analysis goes, is to be found. Data from across the chain’s stores, online divisions and corporate units are stored centrally on Hadoop (a distributed data storage and data management system).

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