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

people, technologies, business and hong kong

scott brady drummondsscott@infoincog.com

definitions

technologies

timing and hype

asiahong kong

business

the common definition

velocityvolume

varietyveracity

the subjective definition

the easy definition

the business challenge:

how to turn data into value?

components: creating value from data

hardware software

people

servers

storage

networks

appliances

platforms

traditional dbms

columnar dbs

nosql

hadoop

platform architects

data scientists

comp. scientists

traditional IT

visualization

hot components

hardware software

people

servers

storage

networks

appliances

platforms

traditional dmbs

columnar db

nosql

hadoop

platform architects

datascientists

comp. scientists

traditional IT

visualization

applications

a few examples

http://www.nytimes.com/2012/02/19/magazine/shopping-habits.html

the structure of success

data

technologies

technologists (data scientists)

data-driven decision making

businesscommitment

visi

bilit

y/ex

pect

ation

s

time

trigger inflated expectations

disillusionment

enlightenment

productivity

adapted from gartner hype cycle

visi

bilit

y/ex

pect

ation

s

time

trigger inflated expectations

disillusionment

enlightenment

productivity

adapted from gartner hype cycle

new job in hong kong

limitless pubs!

nobody knows how to walk on

sidewalks!

better network, good schedule

convenient, good business atmosphere,

good people

example: moving to hong kong

what was the trigger?

• unbounded compute• cheap storage• data accessibility and world datafication• internet scale: yahoo! and google– offspring of hadoop

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 data science

asia

busi

ness

inte

rest

time

global

usa

asia

hong kong

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

enterprise it adoption

how does your business start?

data

technologies

technologists (data scientists)

data-driven decision making

managementcommitment

you probably alreadyhave data for analytics

plenty of big vendorsto choose from

can hire or contracthere in HK

a presentation tomanagement may helpthem believe

meeting with othercompanies’ leadershipwill firm up commitment

what data?

want more?

google+: hong kong big datahttp://www.infoincog.com/

scott@infoincog.com

all content by scott brady drummonds – scott@infoincog.com

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