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Big Data at Canadian Chamber of Commerce: Part 1

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This talk is slightly modified from previous talks I offered that were teasers or aimed for students. In this talk I again provide an overview of big data terms, technologies, and the heroes and villains. But half this talk covered Asia and Hong Kong big data opportunities.

For more information please go to http://infoincog.com.

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Big Data at Canadian Chamber of Commerce: Part 1

  1. 1. big data people, technologies, business and hong kong scott brady drummonds scott@infoincog.com
  2. 2. technologies definitions timing and hype business hong kong asia
  3. 3. the common definition volume velocity variety veracity
  4. 4. the subjective definition
  5. 5. the easy definition
  6. 6. the business challenge: how to turn data into value?
  7. 7. components: creating value from data servers traditional dbms visualization storage columnar dbs network s hardware software nosql platforms hadoop appliances people traditional IT platform architects comp. scientists data scientists
  8. 8. hot components servers traditional dmbs visualization storage columnar db network s hardware software nosql platforms hadoop appliances people traditional IT platform architects comp. scientists data scientists
  9. 9. applications
  10. 10. a few examples
  11. 11. http://www.nytimes.com/2012/02/19/magazine/shopping-habits.html
  12. 12. the structure of success business commitment data-driven decision making technologists (data scientists) technologies data
  13. 13. visibility/expectations adapted from gartner hype cycle time trigger inflated disillusionment productivity expectations enlightenment
  14. 14. example: moving to hong kong adapted from gartner hype cycle convenient, good business atmosphere, good people visibility/expectations limitless pubs! better network, good schedule new job in hong kong trigger nobody knows how to walk on sidewalks! time inflated disillusionment productivity expectations enlightenment
  15. 15. what was the trigger? • • • • unbounded compute cheap storage data accessibility and world datafication internet scale: yahoo! and google – offspring of hadoop
  16. 16. big data: where are we today? adapted from gartner hype cycle visibility/expectations this will be caused by a lack of data science time trigger inflated disillusionment productivity expectations enlightenment
  17. 17. asia
  18. 18. enterprise it adoption global usa business interest asia hong kong time http://www.infoincog.com/big-data-in-asia-pacific/
  19. 19. how does your business start? management commitment data-driven decision making technologists (data scientists) meeting with other companies’ leadership will firm up commitment a presentation to management may help them believe can hire or contract here in HK technologies plenty of big vendors to choose from data you probably already have data for analytics
  20. 20. what data?
  21. 21. want more? google+: hong kong big data http://www.infoincog.com/ scott@infoincog.com all content by scott brady drummonds – scott@infoincog.com

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