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big data
people, technologies, jobs and hong kong
scott brady drummonds
scott@infoincog.com
technologies

definitions

timing and
hype

future
hong kong

people
the common definition

volume
velocity
variety
veracity
the subjective definition
the easy definition
the real challenge:
what to do with all these data?
components: creating value from data
servers

traditional
dbms

visualization

storage

columnar db’s

network
s

hardware...
hot components
servers

traditional
dbms

visualization

storage

columnar db’s

network
s

hardware

software

nosql

pla...
applications
a few examples
why now?
•
•
•
•

cheap storage
unbounded compute
data accessibility and world datafication
internet scale: Yahoo! and Goo...
visibility/expectations

adapted from gartner hype cycle

time
trigger

inflated
disillusionment
productivity
expectations...
big data: where are we
today?

adapted from gartner hype cycle

visibility/expectations

this will be caused by
a lack of ...
data scientist

statistics,
math

comp. sci.,
applications

business
acumen
asia
enterprise it adoption
global
usa
business interest

asia
hong kong

time
http://www.infoincog.com/big-data-in-asia-pacifi...
hong kong
thinking about work?
cs and ds skills most valued ($$$)
us, most disruptive (fun!) techs
it tough to manage visa

us or
hk...
want to get involved?
• want to learn more?
– join hkbd* community, ask scott for reading
recommendations

• want to meet ...
want more?
Google+: Hong Kong Big Data
http://www.infoincog.com/
scott@infoincog.com

all content by Scott Brady Drummonds...
Big Data Overview: People, Technologies, Companies and Hong Kong
Big Data Overview: People, Technologies, Companies and Hong Kong
Big Data Overview: People, Technologies, Companies and Hong Kong
Big Data Overview: People, Technologies, Companies and Hong Kong
Big Data Overview: People, Technologies, Companies and Hong Kong
Big Data Overview: People, Technologies, Companies and Hong Kong
Big Data Overview: People, Technologies, Companies and Hong Kong
Big Data Overview: People, Technologies, Companies and Hong Kong
Big Data Overview: People, Technologies, Companies and Hong Kong
Big Data Overview: People, Technologies, Companies and Hong Kong
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Big Data Overview: People, Technologies, Companies and Hong Kong

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This is the fourth version of the big data talk I have been giving around Hong Kong lately. This is probably the last time I'll use this content, which is almost identical to previous versions. But I wanted to have this slightly different one online for those that attended my University of Hong Kong talk.

In his presentation I provide an overview of big data terminology and technology. I provide vivid examples of big data at work and discuss trends in Asia and Hong Kong.

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Big Data Overview: People, Technologies, Companies and Hong Kong

  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 db’s 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 db’s 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. why now? • • • • cheap storage unbounded compute data accessibility and world datafication internet scale: Yahoo! and Google – offspring of Hadoop
  12. 12. visibility/expectations adapted from gartner hype cycle time trigger inflated disillusionment productivity expectations enlightenment
  13. 13. big data: where are we today? adapted from gartner hype cycle visibility/expectations this will be caused by a lack of data scientists time trigger inflated disillusionment productivity expectations enlightenment
  14. 14. data scientist statistics, math comp. sci., applications business acumen
  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. thinking about work? cs and ds skills most valued ($$$) us, most disruptive (fun!) techs it tough to manage visa us or hk it or other consider grad school for visa and route to employment cs skills not valued; ds skills valued ($$) us, non-disruptive tech; back-end support non-it tough to manage visa us companies hiring sales teams, not developers hk, very few it companies based in hk it few skilled people, skills not heavily in demand many jobs in finance hk, non-disruptive tech; back-end support non-it easiest path to stay in hk consider start-up
  19. 19. want to get involved? • want to learn more? – join hkbd* community, ask scott for reading recommendations • want to meet other developers? – come to odhk meetings and hkbd meetings • want a project for fyp, to build your resume, or just for fun? – datasets and software projects are everywhere! as scott for more info • want a job? – scott knows some recruiters and hiring businesses (*) Hong Kong Big Data on Google+
  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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