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Big Data: People, Technologies, Jobs and Hong Kong (15 Oct 2013)

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This talk is an expanded version of my previous upload from August of this year. I delivered this presentation to the Chinese University of Hong Kong (CUHK)'s Department of Statistics. In it I provided an overview of big data, the techs and skills used in the space, and some engaging stories in the space. I also focused heavily on Hong Kong with details on Open Data projects ongoing in the city right now.

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Big Data: People, Technologies, Jobs and Hong Kong (15 Oct 2013)

  1. 1. big data people, technologies, jobs and Hong Kong Scott Brady Drummonds scott@infoincog.com
  2. 2. technologies definitions timing and hype future Hong Kong people
  3. 3. the common definition volume velocity variety veracity
  4. 4. the subjective definition
  5. 5. the easy definition
  6. 6. the real challenge: what to do with all these data?
  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 stats. people
  8. 8. hot components servers traditional DBMS visualization storage columnar DBs network s hardware software NoSQL platforms Hadoop appliances people traditional IT platform architects comp. scientists stats. people
  9. 9. applications
  10. 10. a few examples
  11. 11. privacy • what is your expectation of your data’s lifespan? • what is the relationship between privacy and intellectual property protection? • do you know your digital exhaust? • should you be compensated for helping Google earn another billion dollars?
  12. 12. why now? • • • • cheap storage unbounded compute data accessibility and world datafication internet scale: Yahoo! and Google – offspring of Hadoop
  13. 13. visibility/expectations adapted from Gartner hype cycle time trigger inflated disillusionment productivity expectations enlightenment
  14. 14. big data: where are we today? adapted from Gartner hype cycle visibility/expectations this will be caused by a lack of statistics knowledge time trigger inflated disillusionment productivity expectations enlightenment
  15. 15. Asia
  16. 16. enterprise IT adoption Global USA business interest Asia Hong Kong time http://www.infoincog.com/big-data-in-asia-pacific/
  17. 17. Hong Kong
  18. 18. want to get involved? • decision tree: – individual? • learn: join G+ group, ask Scott for reading recommendations • work: Scott knows some recruiters and hiring businesses – research ideas? • meet with CS students about HK data research platform – social or civic engagement? • come to regular ODHK meetings
  19. 19. changing future • borderless big data will increasingly become invasive. how will regional laws keep up? • “free” services will shift money from many small contributors to a few large businesses. • data must be properly valued which requires a market. • those with computer science and statistics skills will be very well paid for may years.
  20. 20. 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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