big data: people, technologies, jobs and hong kong (15 oct 2013)

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big data people, technologies, jobs and Hong Kong Scott Brady Drummonds [email protected]

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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.

TRANSCRIPT

Page 1: Big Data: People, Technologies, Jobs and Hong Kong (15 Oct 2013)

big data

people, technologies, jobs and Hong Kong

Scott Brady [email protected]

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definitions

technologies

timing and hype

peopleHong Kong

future

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the common definition

velocityvolume

varietyveracity

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the subjective definition

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the easy definition

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the real challenge:

what to do with all these data?

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components: creating value from data

hardware software

people

servers

storage

networks

appliances

platforms

traditional DBMS

columnar DBs

NoSQL

Hadoop

platform architects

stats. people

comp. scientists

traditional IT

visualization

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hot components

hardware software

people

servers

storage

networks

appliances

platforms

traditional DBMS

columnar DBs

NoSQL

Hadoop

platform architects

stats. people

comp. scientists

traditional IT

visualization

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applications

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a few examples

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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?

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why now?

• cheap storage• unbounded compute• data accessibility and world datafication• internet scale: Yahoo! and Google– offspring of Hadoop

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visi

bilit

y/ex

pect

ation

s

time

trigger inflated expectations

disillusionment

enlightenment

productivity

adapted from Gartner hype cycle

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visi

bilit

y/ex

pect

ation

s

time

trigger inflated expectations

disillusionment

enlightenment

productivity

adapted from Gartner hype cyclebig data: where are we

today?

this will be caused bya lack of statistics knowledge

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Asia

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busi

ness

inte

rest

time

Global

USA

Asia

Hong Kong

http://www.infoincog.com/big-data-in-asia-pacific/

enterprise IT adoption

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Hong Kong

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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

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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.

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want more?

Google+: Hong Kong Big Datahttp://www.infoincog.com/

[email protected]

all content by Scott Brady Drummonds – [email protected]