Ce diaporama a bien été signalé.
Nous utilisons votre profil LinkedIn et vos données d’activité pour vous proposer des publicités personnalisées et pertinentes. Vous pouvez changer vos préférences de publicités à tout moment.

Software is eating the world data is digesting it DF2013

3 006 vues

Publié le

Publié dans : Technologie, Business

Software is eating the world data is digesting it DF2013

  1. 1. Software is Eating The World But Data is Digesting It 10.20.2005 Dreamforce 2013
  2. 2. Software is Eating the World 2
  3. 3. 3
  4. 4. 4
  5. 5. Source: PwC 5
  6. 6. All were founded before 1989 6
  7. 7. The average age of the Top 20 Software Companies is 47 years 7
  8. 8. Software sales growth is slowing 8
  9. 9. The Four Stages of Software Production 9
  10. 10. STAGE 1 “The money is in the hardware, not the software” 10
  11. 11. STAGE 2 “Actually, the money is in the software” 11
  12. 12. STAGE 3 “The money is not in the software, but it is differentiating” 12
  13. 13. STAGE 4 “Software is not even differentiating, the value is the data” 13
  14. 14. The Age of Software The Age of Data 14
  15. 15. Pressure is Growing 15
  16. 16. The Shock of The New 16
  17. 17. The CIO is the Last To Know 17
  18. 18. Systems of Record Systems of Engagement 18
  19. 19. Engagement with customers, partners, employees, and other stakeholders generates data 19
  20. 20. • • • • • • • Location, location, location Influence patterns Customer service feedback Sentiment Geographical trends. Search Findings Predicting retail and property sales 20
  21. 21. Software is a means 21
  22. 22. “The lumber industry sells what used to be waste — sawdust, chips, and shredded wood — for a pretty profit. Today you’ll find these by-products in synthetic fireplace logs, concrete, mulch, particle board, fuel, livestock and pet bedding, winter road traction, weed killing and more.” Jason Fried, 37signals 22
  23. 23. 23
  24. 24. “In contrast to most traditional survey methods, search data are collected as a byproduct of normal activity” - the Bank of England 24
  25. 25. 25
  26. 26. 26
  27. 27. 27
  28. 28. What you Share Changes What You Drink 28
  29. 29. When Web Companies Grow Up 29
  30. 30. The Role 30
  31. 31. The 2013 Language Scape 31
  32. 32. The Trends 32
  33. 33. 33
  34. 34. Source: John C. McCallum 34
  35. 35. Many Tools – the Rise of Polyglot 35
  36. 36. Database Types Key Value Stores: RIAK, Redis, Voldemort, Document databases: CouchDB, MongoDB Column store – SAP HANA, Hbase, Vertica Graph databases – Neo4J, Infinite Graph, Giraph Column/Key Value Store Hybrid- Cassandra Schemaless != Structureless “Eventual Consistency” and CAP. 36
  37. 37. Analysis Modes 37
  38. 38. The Players 38
  39. 39. Hadoop is Eating the World 39
  40. 40. Data Viz D3.js Processing.org 40
  41. 41. GitHub Growth and the RedMonk Experience See Story of Data post here. 41
  42. 42. Source: Google Trends 42
  43. 43. Source: Google Trends 43
  44. 44. Source: Hacker News 44
  45. 45. Source: Hacker News 45
  46. 46. Source: Stack Overflow 46
  47. 47. Source: Stack Overflow 47
  48. 48. 48
  49. 49. 49
  50. 50. 50
  51. 51. Social Coding 51
  52. 52. Social Data 52
  53. 53. Hadoop at Facebook http://hadoopblog.blogspot.com/2010/05/facebook-has-worlds-largest-hadoop.html 53
  54. 54. 54

×