10

/27

/20

171

DESIG

NIN

G F

OR B

IG D

ATA

OC

TO

BER

26

, 20

17

CR

AIG

PA

RK

, FSM

PS

, AS

SO

C. A

IA

Prin

cipal

TH

E S

EXTA

NT G

RO

UP

TO

DA

Y’S

PR

ESEN

TA

TIO

N

•IN

TR

OD

UC

TIO

N

–5

TR

EN

DS

IN D

ES

IGN

FO

R B

IG D

ATA

•C

ON

NE

CT

IVIT

Y

–W

IRE

D &

WIR

EL

ES

S, C

AM

PU

S T

O T

HE

CL

OU

D

•V

ISU

AL

IZA

TIO

N

–T

RE

ND

S, T

RIC

KS

& T

EC

HN

OL

OG

IES

•C

OL

LA

BO

RA

TIO

N

–F

RO

M S

CR

EE

N S

HA

RIN

G T

O G

RO

UP

INT

ER

AC

TIO

N

•Q

&A

INT

RO

DU

CT

ION

Tre

nd

s &

Ap

plic

atio

ns

10

/27

/20

172

5 T

REN

DS IN

DESIG

N F

OR

BIG

DA

TA

…

•In

tern

et o

f Th

ing

s–

Se

nso

rs &

Be

aco

ns

•U

nifie

d C

om

mu

nic

atio

ns

–B

YO

D A

nyw

he

re, A

ny T

ime

•A

ug

men

ted

Reality

–+

AI, V

R &

MR

•U

ser E

xp

erie

nce (U

X)

–In

tuitiv

e In

terfa

ce

•P

red

ictiv

e A

naly

tics

–A

pp

lica

tion

RO

I

DA

TA

CO

NN

EC

TIV

ITY

Wire

d &

Wire

less, C

am

pu

s to

the C

lou

d

AN

ALYTIC

S R

OI

Wh

at

Ha

pp

en

ed

?W

ha

t H

ap

pe

ne

d?

Wh

at’s

Ne

xt?

Wh

at’s

Ne

xt?

Wh

y?

Qu

an

tifiab

le R

OI

Bu

sine

ss

Inte

llige

nce

80

%

Pre

dictiv

e

An

aly

tics

25

0%

10

/27

/20

173

E-E

VER

YTH

ING

, IP-E

VER

TH

ING

ELSE…

BA

ND

WID

TH

: TH

E 4

TH

UTIL

ITY

�C

op

pe

r Ca

ble

�P

erfo

rma

nce

ga

ins w

ith co

pp

er

con

tinu

e to

be

rea

lized

�1

00

Mb

/ 1 G

b/ 1

0 G

b

�O

ptica

l Fib

er

�1

2%

an

nu

al g

row

th fo

r Fib

er

thro

ug

h 2

02

5

�S

tron

g d

em

an

d fo

r ad

van

ced

IT

an

d e

me

rgin

g m

ultim

ed

ia

service

s

�G

PO

N se

cure

infra

structu

re

be

com

ing

cost e

ffective

CU

T T

HE C

OR

D

�W

irele

ss L

AN

(Wi-F

i) �

To

day: 5

0+

millio

n W

i-Fi

netw

ork

s

�To

tal W

irele

ss E

co

no

my:

�$140.2

B (s

erv

ices,

infra

stru

ctu

re, s

oftw

are

, h

ard

ware

, etc

.) in U

S�

67%

of U

S h

om

es

netw

ork

ed

�W

i-Max, 4

G, B

lueto

oth

, R

FID

, Zig

bee, W

HD

I, etc

.

10

/27

/20

174

Da

ta C

en

ter

MD

F

Ca

mp

us/B

uild

ing

IDF

Da

ta C

lose

t

IDF

Use

r Acce

ss

TR

AD

ITIO

NA

L C

OP

PER

IT IN

FR

ASTR

UC

TU

RE

Trad

ition

al A

ctive

Eth

ern

et

Loca

l Pro

visio

nin

g &

Ma

na

ge

me

nt

Trad

ition

al A

ctive

Eth

ern

et

T rad

ition

al A

ctive

Eth

ern

et

Trad

ition

al A

ctive

Eth

ern

et

Dista

nce

Limite

d

Co

pp

er =

10

0 M

Dista

nce

Limite

d

Co

pp

er =

10

0 M

Dista

nce

Limite

d

Co

pp

er =

10

0 M

De

skto

p

Cla

ssroo

m

Hu

dd

le R

oo

m

Ag

gre

gatio

n

Distrib

utio

n

Da

ta C

en

ter

MD

F

Ca

mp

us/B

uild

ing

IDF

Da

ta C

lose

t

IDF

Use

r Acce

ss

GIG

AB

IT P

ASSIV

E O

PTIC

AL N

ETW

OR

K (G

PO

N)

Pa

ssive

Op

tical LA

N

Ce

ntra

lized

Pro

visio

nin

g

& M

an

ag

em

en

t

Pa

ssive

Op

tical LA

NP

assiv

e O

ptica

l LAN

Pa

ssive

Op

tical LA

N

Pa

ssive

Ne

two

rk U

p to

30

KM

/18

Mi

Dista

nce

30

0X

Gre

ate

r Re

ach

Pa

ssive

Ne

two

rk U

p to

30

KM

/18

Mi

Dista

nce

30

0X

Gre

ate

r Re

ach

Pa

ssive

Ne

two

rk U

p to

30

KM

/18

Mi

Dista

nce

De

skto

p

Cla

ssroo

m

Hu

dd

le R

oo

m

Sin

gle

Mo

de

Fib

er

EO

LTP

assiv

e O

ptica

l Sp

litter

SEN

SO

RS &

BEA

CO

NS

10

/27

/20

175

A W

OR

LD

OF S

EN

SO

RS

MESH

NETW

OR

K S

CA

LA

BIL

ITY

FR

OM

CA

MP

US T

O “

TH

E C

LO

UD

”

IT in

frastru

ctu

re

IT s

erv

ice

s

IT s

uppo

rt

19

90

20

00

20

10

20

30

Co

ns

um

er la

ye

r

Clo

ud

lay

er

So

urce

: Rich

ard

Ka

tz, Ed

uca

use

10

/27

/20

176

VIS

UA

LIZ

AT

ION

Tre

nd

s &

Tech

no

log

ies

TH

E G

REA

T G

LO

BA

L G

RID

Un

like

the

cu

rren

t Wo

rld W

ide

We

b, th

e “

Gre

at G

lob

al G

rid”

will b

e p

rima

rily a

vis

ua

l

me

diu

m.

M

ich

ael M

alo

ne

“In

tern

et II: R

e-B

oo

ting

Am

eric

a”

IMA

GE D

ISP

LA

Y T

EC

HN

OLO

GIE

S

•P

RO

JE

CT

ION

–L

am

ple

ss L

aser P

ho

sp

ho

r LE

D

–D

igita

l Lig

ht P

rocessin

g (D

LP

)

–Lig

ht E

mittin

g D

iode (L

ED

)

•F

LA

T S

CR

EE

NS

–O

rgan

ic L

igh

t Em

itting

Dio

de (O

LE

D)

–Lig

ht E

mittin

g D

iode (B

acklit L

ED

)

–Liq

uid

Cry

sta

l Dis

pla

y (B

acklit L

CD

)

•T

ILE

SC

RE

EN

S–

RP

Laser P

ho

sp

ho

r Dis

pla

y (L

PD

)

–L

ED

Pan

el A

rray (2

.5m

m -

0.9

mm

)

–R

P L

PD

/DLP

Tile

Arra

y

–P

lasm

a P

anel A

rray

Un

ive

rsity

of K

an

sa

s C

ap

itol F

ed

era

l Ha

ll

10

/27

/20

177

4K

& 8

K P

RO

JEC

TIO

N

Ima

ge

: Ch

ristie

OLED

4K

DIS

PLA

Y

Ima

ge

: LG

LED

TIL

E D

ISP

LA

Y

Ima

ge

: So

ny

10

/27

/20

178

LED

TIL

E D

ISP

LA

Y

Ima

ge

: LG

LED

TIL

E D

ISP

LA

Y

Un

ive

rsity

of K

an

sa

s C

ap

itol F

ed

era

l Ha

ll

FLEX

IBLE L

ED

DIS

PLA

YS

Ima

ge

: Na

no

Lum

en

s

10

/27

/20

179

INTER

AC

TIV

E T

AB

LES

OLED

SM

AR

T W

IND

OW

Ima

ge

: Sa

msu

ng

MO

BIL

ITY =

BYO

D

10

/27

/20

17

10

AU

GM

EN

TED

REA

LIT

Y

AU

GM

EN

TED

REA

LIT

Y

UN

IVE

RS

ITY

OF

CA

LGA

RY

TAY

LOR

FAM

ILY D

IGITA

L LIBR

AR

Y

AU

GM

EN

TED

REA

LIT

Y

10

/27

/20

17

11

UN

IFIE

D C

OM

MU

NIC

ATIO

NS (U

C)

USER

EX

PER

IEN

CE (U

X)

WH

Y IS

N’T

IT L

IKE M

Y P

HO

NE?

10

/27

/20

17

12

WH

Y IS

N’T

IT L

IKE M

Y T

AB

LET?

WH

Y IS

N’T

IT L

IKE M

Y C

AR

?

20

13

Fo

rd F

usio

n “M

yF

ord

”

WH

Y IS

N’T

IT L

IKE M

Y H

OU

SE?

10

/27

/20

17

13

WH

Y IS

N’T

IT L

IKE A

LEX

A?

Ale

xa, p

lay

Mile

s Da

vis o

n

Pa

nd

ora

…

Ad

din

g M

iles

Da

vis to

yo

ur

Pa

nd

ora

statio

ns…

AN

ALYTIC

S L

AB

•In

no

va

tive

Se

rvic

es

2 –

Dig

ital W

all

UN

IVE

RS

ITY

OF

IOW

A IN

FO

RM

AT

ICS

INIT

IAT

IVE

(I 3)

Ima

ge

Co

urte

sy o

f BN

IM A

rchite

cts

VIS

UA

LIZ

ATIO

N L

AB

UN

IVE

RS

ITY

OF

CA

LIFO

RN

IA S

AN

DIE

GO

HIP

ER

SP

AC

E LA

B

10

/27

/20

17

14

VIS

UA

LIZ

ATIO

N L

AB

NO

RT

H C

AR

OL

INA

STA

TE

UN

IVE

RS

ITY

JB

HU

NT

LIB

RA

RY

VIS

UA

LIZ

ATIO

N C

AN

VA

S

TE

MP

LE

UN

IVE

RS

ITY

SC

IEN

CE

ED

UC

AT

ION

& R

ES

EA

RC

H C

EN

TE

R

CO

MP

UTER

AID

ED

VIR

TU

AL E

NV

IRO

NM

EN

T

Ima

ge

cou

rtesy

of M

ech

dy

ne

10

/27

/20

17

15

CA

VE

UN

IVE

RS

ITY

OF

CA

LIFO

RN

IA S

AN

DIE

GO

CA

LIT2

CO

LL

AB

OR

AT

ION

Scre

en

Sh

arin

g to

Gro

up

Inte

ractio

n

TH

E C

OLLA

BO

RA

TIO

N A

NA

LO

GU

E

10

/27

/20

17

16

AN

ALO

G IN

A D

IGIT

AL W

OR

LD

DIG

ITA

LIN

AN

AN

ALO

GW

OR

LD

EM

BR

AC

ING

TH

E D

IFFER

EN

CES

•A

dva

nc

ed

Vis

ua

liza

tion

Sys

tem

s

–C

ap

ab

le o

f Dis

pla

yin

g L

arg

e D

ata

Se

ts

•S

up

po

rt for R

em

ote

Co

llab

ora

tion

–W

ired

/Wire

les

s C

on

ne

ctiv

ity

•E

mb

rac

ing

of B

YO

D

–B

ring

Yo

ur O

wn

De

vic

e

•A

rch

ivin

g C

olla

bo

ratio

n S

es

sio

ns

–P

rovid

e fo

r Qu

ick

Re

ca

ll

•M

ain

tain

ing

Fa

milia

r Ta

ctile

Fo

rms

–A

na

log

& D

igita

l Co

llab

ora

tion

10

/27

/20

17

17

UX

: EA

SE O

F U

SE

•P

rima

ry T

as

ks

–Z

OO

M IN

/ OU

T

–P

AN

LE

FT

/ RIG

HT

•In

tera

ctiv

e V

isu

aliz

atio

n S

oftw

are

•O

ff-Th

e-S

he

lf De

sk

top

Ap

plic

atio

ns

•S

pe

cia

lty R

es

ea

rch

Ap

plic

atio

ns

•C

olla

bo

rativ

e M

ee

ting

So

lutio

ns

•V

irtua

l Re

ality

Inte

rfac

e

•‘G

am

e’ S

tyle

Inte

rfac

es

So

urce

: Wik

ipe

dia

Ima

ge

& D

efin

ition

:

Six D

eg

ree

s of F

ree

do

m: Fo

rwa

rd/B

ack

, Up

/Do

wn

, Left/R

igh

t, Pitch

, Yaw

, Ro

ll

CO

LLA

BO

RA

TIO

N T

OO

LS

•O

ne d

evic

e p

resen

ting

on

dis

pla

y

•A

ll co

nte

nt is

gen

era

ted

on

on

e d

evic

e

–H

ard

-wire

d d

irectly

to a

wa

ll or ta

ble

co

nne

ctio

n p

oin

t

GRO

UP P

RESEN

TATIO

N

CO

LLA

BO

RA

TIO

N T

OO

LS

•C

on

ten

t can

co

me fro

m o

ne to

man

y w

ired

devic

es

•C

on

ten

t dis

pla

yed

on

e a

t a tim

e, o

r in a

sp

lit scre

en

fash

ion

GRO

UP S

HA

RIN

G

10

/27

/20

17

18

CO

LLA

BO

RA

TIO

N T

OO

LS

•M

ultip

le d

evic

es p

resen

ting

ind

ep

en

den

tly o

n d

isp

lay w

irele

ssly

•C

on

ten

t can

co

me fro

m o

ne to

six

devic

es

•C

on

ten

t dis

pla

yed

on

e a

t a tim

e, o

r in a

sp

lit scre

en

fash

ion

GRO

UP W

IRELE

SS S

HA

RIN

G

CO

LLA

BO

RA

TIO

N T

OO

LS

•M

ultip

le u

sers

co

llab

ora

ting

on

a s

ing

le s

cre

en

on

a c

om

mo

n

do

cu

men

t; Co

nte

nt c

an

co

me fro

m m

an

y d

iffere

nt d

evic

es; s

aved

to

the c

lou

d

GRO

UP W

IRELE

SS C

OLLA

BO

RA

TIO

N

CO

LLA

BO

RA

TIO

N S

PA

CE

SA

NTA

CLA

RA

UN

IVE

RS

ITY

LIBR

AR

Y F

OR

TH

E 2

1S

TC

EN

TU

RY

10

/27

/20

17

19

CO

LLA

BO

RA

TIO

N S

PA

CE

UN

IVE

RS

ITY

OF

TE

XA

S S

OU

TH

WE

ST

ER

N M

ED

ICA

L CE

NT

ER

TB

L CLA

SS

RO

OM

MU

LTI-T

OU

CH

‘SM

AR

T’ S

CR

EEN

S

Ima

ge

: Ob

lon

g M

ezza

nin

e

MU

LTI-

SC

REEN

VIS

UA

LIZ

ATIO

N

10

/27

/20

17

20

MU

LTI-T

OU

CH

VIS

UA

LIZ

ATIO

N

•V

iew

of E

ntry

–lo

ok

ing

So

uth

No

rth C

aro

lina

Sta

te U

niv

ers

ity J

B H

un

t Lib

rary

Ima

ge

: Mu

ltitactio

n

MU

LTI-T

OU

CH

VIS

UA

LIZ

ATIO

N

Ima

ge

: Blu

eS

cap

e

MU

LTI-T

OU

CH

VIS

UA

LIZ

ATIO

N

10

/27

/20

17

21

Ima

ge

: An

aco

reS

yn

the

sis

MU

LTI-T

OU

CH

VIS

UA

LIZ

ATIO

N

10

/27

/20

17

22

IN C

ON

CL

US

ION

…S

tart w

ith th

e E

nd

in M

ind

…

PR

ED

ICTIV

E A

NA

LYTIC

S

UN

DE

RS

TAN

DU

ND

ER

STA

ND

PR

EP

AR

EP

RE

PA

RE

MO

DE

LM

OD

EL

EV

ALU

AT

EE

VA

LUA

TE

DE

PLO

YD

EP

LOY

MO

NIT

OR

MO

NIT

OR

BU

SIN

ES

S

GO

AL

BU

SIN

ES

S

GO

AL

10

/27

/20

17

23

WH

O’S

IN J

EO

PA

RD

Y?

PETA

-BYTE P

RO

CESSIN

G

ZETA

-BYTE P

RO

CESSIN

G

10

/27

/20

17

24

AR

TIF

ICIA

L IN

TELLIG

EN

CE

By

20

29

, sufficie

nt co

mp

uta

tion

to sim

ula

te th

e e

ntire

hu

ma

n

bra

in, w

hich

I estim

ate

at a

bo

ut

10

16

(10

millio

n b

illion

)

calcu

latio

ns p

er se

con

d (cp

s), will

cost a

bo

ut a

do

llar.

R

ay

Ku

rzwe

il Fo

rew

ord

to “

Th

e In

tellig

en

t Un

iverse

”

by

Jam

es G

ard

ne

r

REA

DY P

LA

YER

ON

E…

CO

MP

UTA

TIO

NA

L D

ESIG

N

10

/27

/20

17

25

BEFO

RE Y

OU

STA

RT…

OP

ER

AT

ION

AL

•W

ha

t’s the

“Use

Ca

se?

”

–E

xp

lora

tion

–E

xp

erim

en

tatio

n

–C

om

mu

nica

tion

•N

um

be

r of U

sers / V

iew

ers?

•U

ser-D

rive

n v. O

pe

rato

r-Driv

en

?

•B

an

dw

idth

& S

tora

ge

•F

irst Co

st v.

Tota

l Co

st of O

wn

ersh

ip

TE

CH

NO

LOG

Y

•P

ixel C

ou

nt/D

en

sity?

•2

D o

r 3D

?

•A

ug

me

nte

d?

•Im

me

rsive

?

•In

tera

ctive

?

•C

olla

bo

ratio

n?

•M

ulti-To

uch

?

FU

TU

RE-P

RO

OFIN

G

LIF

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