Software is eating the world data is digesting it DF2013

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  • Which of course encourages more forking and diversity, the new way innovation is done
  • 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

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