welkom bij de themasessie oracle spatial 11g · welkom bij de themasessie oracle spatial 11g ogh...
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Welkom bij de themasessie Oracle Spatial 11g
OG
h S
IM C
om
mis
sie
Agenda
•19:0
0 -
19:0
5 W
elk
om
•19:0
5 -
19:3
5 M
anagin
g A
LL y
our In
form
ation in 1
1g
(Han W
am
mes)
•19:3
5 -
20:1
5 O
racle
Spatial 11g (H
an W
am
mes)
•20:1
5 -
20:3
0 P
auze
•20:3
0 -
21:0
0 O
BI EE e
n O
racle
MapV
iew
er (B
as
Roela
nds)
•21:0
0 -
21:3
0 O
Gh
SIM
Com
mis
sie
(Bra
mSchilt
mans)
<Insert Picture Here>
Managing ALL your Inform
ation
Han W
am
mes
Solu
tion A
rchitect
Sale
s C
onsultin
g T
echnolo
gy
•Ente
rprise a
pplic
ations incorp
ora
ting c
onte
nt w
ith d
ata
•C
om
plia
nce d
rivin
g c
onte
nt in
to d
ata
base
•D
ocum
ents
becom
ing s
em
i-structu
red info
rmation,
drivin
g v
alu
e o
f data
base
•XM
L b
ecom
es the s
tandard
to repre
sent / describe
Info
rmation
•In
form
ation R
etrie
val (S
earc
h) is
essential to
In
form
ation A
ccess
•In
form
ation Inte
gra
tion c
ritical to
locate
and c
orr
ela
te
data
fro
m m
ultip
le s
ourc
es, st
ructu
red &
unstructu
red
Trends
•In
cre
ases C
ost of M
anagem
ent
•Im
pacts
Pro
ductivity
•C
om
plic
ate
s C
om
plia
nce
•In
cre
ases R
isk
Challenges Of management of
Unstructured Data
•Evolv
e D
ata
base to m
anage a
ll Ente
rprise Info
rmation
•M
eld
Data
base a
nd F
ile-s
yste
m m
eta
phors
•Enable
Inte
gra
tion o
f all
Ente
rprise Info
rmation
Sourc
es
•Enable
Ric
h Info
rmation R
etrie
val capabili
ties
•Pro
vid
e s
olu
tions b
uilt
on top o
f th
e p
roven d
ata
m
anagem
ent pla
tform
-data
base
Strategy
Evolving the Database….
1999
2001
2004
2007
1997
�Oracle8
�VLDB
�LOB’s
Object-
relational
�Extensibility
�Oracle8i
�Text
�Spatial
�Media
�Oracle9i
�XML DB
�Repository
�SQL/XML
�Oracle 10g
�ULDB
�Location
Service
�XQuery
�Oracle 11g
�Secure Files
�RDF &
Ontology
�DICOM
�Binary XML
�XML Index
Complete Inform
ation Management
Multimedia
Multimedia
Audio, Image and Video
Audio, Image and Video
Location & Spatial
Location & Spatial
Location Enabled Databases
Location Enabled Databases
Secure Enterprise Search
Secure Enterprise Search
Enterprise W
ide Search
Enterprise W
ide Search
XML
XML
Integrated Native XML Database
Integrated Native XML Database
Text
Text
Text Indexing and Classification
Text Indexing and Classification
Relational
Relational
Characters, Numbers, Dates,
Characters, Numbers, Dates, LOBs
LOBs
Content DB and Records DB
Content DB and Records DB
Content Management in the Database
Content Management in the Database
Complete Inform
ation Management
Multimedia
Multimedia
Medical Image Support (DICOM)
Medical Image Support (DICOM)
Location & Spatial
Location & Spatial
3D Support
3D Support
XML
XML
Binary XML Support
Binary XML Support
Text
Text
RDF and OWL Support
RDF and OWL Support
Relational
Relational
New
New SecureFiles
SecureFilesLOB Storage
LOB Storage
Secure Enterprise Search
Secure Enterprise Search
Complete Set of Connectors
Complete Set of Connectors
Content DB and Records DB
Content DB and Records DB
Content Management in the Database
Content Management in the Database
•Levera
ge the O
racle
data
base to m
anage a
ll Ente
rprise C
onte
nt
•Secure
structu
red, sem
i-structu
red &
unstructu
red
data
in the d
ata
base
<Insert Picture Here>
Complete Inform
ation
Management
Relational--LOBs
Files Belong with Relational Data
•M
any a
pplic
ations h
ave b
oth
file
s a
nd rela
tional data
•e.g
. D
ocum
ent M
anagem
ent, M
edic
al, C
AD
, Im
agin
g
•This
split
com
pro
mis
es s
ecurity
, ro
bustn
ess, and
managem
ent
•D
isjo
int security
and a
uditin
g m
odels
•C
hanges c
annot be m
ade a
tom
ically
•Backup a
nd recovery
are
fra
gm
ente
d
•Searc
h a
cro
ss rela
tional data
and file
s is
difficult
•Space m
anagem
ent is
com
plic
ate
d
•Separa
te inte
rfaces a
nd p
roto
cols
•Tw
o d
ata
managers
for one a
pplic
ation is o
ne too
many
SecureFiles
Consolid
ate
d S
ecure
Managem
ent of D
ata
•M
any a
pplic
ations h
ave b
oth
fla
t file
s &
rela
tional data
•E.g
. D
ocum
ent M
anagem
ent, M
edic
al, C
AD
, Im
agin
g
•Secure
File
sis
new
data
base featu
re d
esig
ned to
bre
ak the p
erform
ance b
arr
ier th
at has k
ept file
data
out of data
base
•Sim
ilar to
LO
Bs
but m
uch faste
r,and w
ith m
ore
capabilities
•Tra
nspare
nt encry
ption,c
om
pre
ssio
n,d
eduplic
ation,e
tc
•Pre
serv
es s
ecurity
, re
liabili
ty, and s
cala
bility
of data
base
•Supers
et of LO
B inte
rfaces for easy m
igra
tion fro
m L
OBs
Oracle Secure Files
Breaking the Perform
ance Barrier…
Read Perform
ance
Write Perform
ance
0.01
0.1
110
100
Mb/Sec
0.01
0.1
110
100
Mb/Sec
File Size (Mb)
File Size (Mb)
Secure Files
Linux Files
Secure Files
Linux Files
-MarcelKratochvil,
Piction
“Pictionrequires the ability to store very large
individual digital images for use in a digital
asset management system.
Using Oracle Database 11g andSecureFileswe
are able to load gigabyte size blobs faster than
in previous versions of Oracle. We saw
improvements of over 70% in perform
ance when
loading and unloading photos and video files.
All our Oracle Database 11g Pictioncustomers
will be using the new SecureFilesfeature.”
Storage Optimized
File Store
•D
eduplic
ation
•M
ultip
le c
opie
s o
f id
entical S
ecure
File
s a
re s
tore
d o
nly
once
•G
reat fo
r docum
ent m
anagem
ent, testing, pro
duct “h
om
es”
•Sig
nific
antly b
etter perform
ance for copy o
pera
tions
•C
om
pre
ssio
n
•In
telligent –
Auto
matically
dete
rmin
es if data
is c
om
pre
ssib
le
•2x to 3
x c
om
pre
ssio
n for ty
pic
al file
s
•Im
pro
ves p
erform
ance b
y reducin
g IO
, buffer cache
requirem
ents
, re
do g
enera
tion a
nd e
ncry
ption o
verh
ead
•Tra
nspare
nt to
applic
ations
SecureFilesvalue propositions
•Sin
gle
security
model
•Sin
gle
vie
w o
f data
•Sin
gle
managem
ent of data
•H
igh p
erform
ance
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Complete Inform
ation
Management
XML DB
XML in Oracle Database
•N
ative, flexib
le, hig
h-p
erform
ance,scale
able
XM
L
sto
rage a
nd p
rocessin
g; pio
neere
d in 9i, b
ecom
ing
sta
te-o
f-th
e-a
rt in 1
1g, put th
e n
eare
st com
petition in
catc
h-u
p m
ode
•R
epository
inte
gra
tion e
nable
s d
ocum
ent centric
access, security
, in
tegrity
, and a
pps d
evelo
pm
ent
•Firstpro
duct to
support k
ey X
ML s
tandard
s inclu
din
g
the W
3C
XQ
uery
recom
mendation a
nd S
QL/S
ML
•Firstpro
duct to
deliv
er SQ
L/X
ML d
ualit
y•
SQ
L:2
003 a
nd S
QL:2
007 c
om
plia
nt XM
L p
ublis
hin
g
•SQ
L/X
ML a
nd X
ML/S
QL inte
ropera
bility
.
Evolution of Oracle’s XML Support
1998 2001 2004 2007
Performance
XML
XML
Storage &
Storage &
Repository
Repository
XML
XML
API
API ’’ss
XQuery
XQuery
Binary XML
Binary XML
Storage
Storage
& Indexing
& Indexing
11g Perform
ance Improvements
for Schema-Optimized XML
•Sig
nific
ant perform
ance im
pro
vem
ents
•U
p to 1
0x p
erform
ance im
pro
vem
ent w
hen ingesting X
ML
•U
p to 1
0x p
erform
ance im
pro
vem
ent w
hen g
enera
ting X
ML
•XM
LAgg o
ptim
ization
•G
enera
l im
pro
ved o
ptim
ization o
f XQ
uery
expre
ssio
n o
n
Schem
a-O
ptim
ized s
tora
ge
•Sig
nific
ant optim
ization for fragm
ent le
vel D
ML o
pera
tions o
n
colle
ctions
Extending the lead in 11g
•C
om
pre
hensiv
e X
ML s
tora
ge a
nd indexin
g•
Bin
ary
XM
L –
Com
pact and e
ffic
ient sto
rage repre
senta
tion
•Effic
ient end-to-e
nd X
ML P
rocessin
g•
Sin
gle
, com
pact XM
L repre
senta
tion s
hare
d b
y c
lient, m
id-
tier and d
ata
base
•Pla
n to p
lace o
ur Bin
ary
XM
L form
at in
to o
pen s
ourc
e
•Enablin
g X
ML A
pplic
ation D
evelo
pm
ent
•Support X
Query
1.0
Sta
ndard
•Support for W
eb S
erv
ices in the d
ata
base
•Support C
onte
nt R
epository
API fo
r JAVA(J
SR
170)
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Complete Inform
ation
Management
Text
Text in Oracle Database
•Full-
text
Searc
h
•N
atu
ral Language P
rocessin
g
•C
luste
ring a
nd C
lassific
ation
•R
ela
tional and H
iera
rchic
al D
ata
Models
•Sem
antic S
earc
h
What is classification?
Cla
ssific
ation
Applic
ation
Perform
Action
Incom
ing
docum
ents
Matc
hed
Docum
ents
10g
Com
pare
s
again
st
rule
s
Recap of classification and clustering
•C
lassific
ation
•Superv
ised c
lassific
ation o
f conte
nt
•Tw
o w
ays
: ru
les o
r train
ing s
ets
•You c
an g
roup a
num
ber of cate
gories into
a taxo
nom
y
•Very
usefu
l fo
r definin
g a
com
mon v
ocabula
ry in a
n e
nte
rprise
•C
luste
ring
•U
nsuperv
ised c
lassific
ation o
f pattern
s into
gro
ups
•The e
ngin
e a
naly
zes the d
ocum
ent colle
ction a
nd o
utp
uts
a s
et of
clu
ste
rs w
ith d
ocum
ents
on it
•Very
usefu
l fo
r discovering
pattern
s o
r nuggets
in c
olle
ctions
•C
ould
be u
sed a
s a
sta
rtin
g p
oin
t w
hen there
is n
o taxonom
y pre
sent
New in 11g
•C
om
posite Index
support
•U
ser-
defined R
ele
vance R
ankin
g
•Segm
enta
tion a
nd S
tem
min
g for 32 L
anguages
•N
am
e S
earc
h
<Insert Picture Here>
Complete Inform
ation
Management
Spatial
What is Location Data?
•Busin
ess d
ata
that conta
ins o
r describes location
•Street / posta
l addre
ss (custo
mers
, sto
res, fa
cto
ries...)
•Sale
s d
ata
(sale
s territory
, custo
mer re
gis
tration…
)
•Assets
(cell
tow
ers
, fire
hydra
nts
, ele
ctric
tra
nsfo
rmers
...)
•G
eogra
phic
featu
res (ro
ads, rivers
, park
s...)
•Anyth
ing c
onnecte
d to a
physic
al lo
cation
•Every
data
base in the w
orld c
onta
ins s
om
e form
of
busin
ess d
ata
that can b
e levera
ged u
sin
g s
patial
technolo
gie
s
•Location is a
“univ
ers
al key”
Data: Manage All Geospatial Data Types
Data
Locations
(points of interest)
Networks
(roads, utilities)
Polygons
(admin & sales territories)
Imagery
(satellite imagery)
Topology
(map production)
3D data
(city models)
Geocode:
•G
enera
tes latit
ude/longitude
(poin
ts) from
addre
ss
•In
tern
ational a
ddre
ssin
g
sta
ndard
ization
•Form
atted a
nd u
nfo
rmatted
addre
sses
•Tole
rance p
ara
mete
rs s
upport
fuzzy m
atc
hin
g
•100%
Java, open a
nd s
cala
ble
•R
ecord
-level a
nd b
atc
h
pro
cesses
•D
ata
pro
vid
ed b
y leadin
g d
ata
vendors
One Oracle Drive, Nashua NH, 03062
Map d
ata
©N
AVTEQ
Analyze: Geospatial Data
SELECT c.holding_company, c.location
FROM competitor c,
bank b
WHERE b.site_id = 1604
AND
SDO_WITHIN_DISTANCE(c.location,
b.location,
'distance=2 unit=mile') = 'TRUE'
Find all competitors within 2 miles of Northport Branch
Display: Generate Powerful Maps
Integrate Into Your Business Application
Oracle Value Proposition
Enhance O
racle
Data
base a
nd O
racle
Fusio
n M
iddle
ware
Applic
ation S
erv
er w
ith location a
naly
sis
and m
appin
g•
Ora
cle
Locato
r and S
patial O
ption, O
racle
MapVie
wer
•M
atu
re technolo
gy
–12 y
ears
and 4
majo
r re
leases
Enable
ente
rprise b
usin
ess a
pplic
ations
•C
RM
, busin
ess inte
lligence, Ente
rprise R
esourc
e P
lannin
g, Asset
Managem
ent, F
ield
Serv
ice, Supply
Chain
, etc
.
•Adopt G
IS c
apabilities a
lready
in D
BM
S a
nd A
pp S
erv
er
Com
mitm
ent To S
tandard
s•
Open G
eospatial C
onsortiu
m (O
GC
)
Partner W
ith L
eadin
g V
endors
•S
yste
m Inte
gra
tors
: Solu
tions im
ple
menta
tion
•D
ata
supplie
rs: W
orld w
ide m
ap a
nd im
agery
conte
nt
•G
eospatial softw
are
vendors
: Specia
lized tools
New in 11g
•Spatial W
eb S
erv
ices
•3D
spatial data
managem
ent
•In
clu
sio
n o
f w
orldw
ide m
ap d
ata
•O
thers
Enhancem
ent
•R
outing e
ngin
e e
nhancem
ent
•N
etw
ork
Data
Model enhancem
ent
•G
eoR
aste
r enhancem
ents
•Support for SQ
L/M
M s
patial ty
pes a
nd o
pera
tors
Oracle Spatial 11g Enables 3D Applications
AEC
City
Modelin
gPetrole
um
Exp
lora
tion
Ente
rprise M
ash-u
ps
with 3
D m
odels
<Insert Picture Here>
Complete Inform
ation
Management
Semantic Database
RDF and Ontology support
Reasons to Perform
Semantic Query
and Data Management in the Database
•D
iscover data
rela
tionship
s a
cro
ss a
pplic
ations o
r la
rge a
mounts
of data
•Q
ueries a
re n
ot defined in a
dvance
•O
verc
om
e isola
ted s
yste
ms d
esig
n
•H
igh-tra
nsaction d
ata
inputs
Reasons to Perform
Semantic Query
and Data Management in the Database
•D
iscover data
rela
tionship
s a
cro
ss a
pplic
ations o
r la
rge a
mounts
of data
•Q
ueries a
re n
ot defined in a
dvance
•O
verc
om
e isola
ted s
yste
ms d
esig
n
•H
igh-tra
nsaction d
ata
inputs
Reasons to Perform
Semantic Query
and Data Management in the Database
•D
iscover data
rela
tionship
s a
cro
ss a
pplic
ations o
r la
rge a
mounts
of data
•Q
ueries a
re n
ot defined in a
dvance
•O
verc
om
e isola
ted s
yste
ms d
esig
n
•H
igh-tra
nsaction d
ata
inputs
Reasons to Perform
Semantic Query
and Data Management in the Database
•D
iscover data
rela
tionship
s a
cro
ss a
pplic
ations o
r la
rge a
mounts
of data
•Q
ueries a
re n
ot defined in a
dvance
•O
verc
om
e isola
ted s
yste
ms d
esig
n
•H
igh-tra
nsaction d
ata
inputs
New in 11g
•10gR
2 introduced R
DF s
upport for gra
ph d
ata
model
•11g a
dds n
ew
data
model fo
r scala
ble
, secure
, sta
ndard
-based
sto
rage a
nd q
uery
of O
WL a
nd R
DF O
nto
logie
s
•SQ
L-b
ased q
uery
of th
ese O
nto
logie
s
•Scale
s u
p to a
billio
n “trip
les”
•“S
em
antic M
atc
h”SQ
L O
pera
tor to
query
any rela
tional data
usin
g refe
renced O
nto
logy
•Exp
ands results to inclu
de rela
ted &
sem
antically
rele
vant conte
nt
•In
fere
ncin
g S
upport
•N
ative, pra
ctical subset of O
WL infe
rencin
g c
apabili
ty
•Built
-in R
DFS infe
rencin
g
•U
ser-defined rule
s
Reasons to Perform
Semantic Query
and Data Management in the Database
•D
iscover data
rela
tionship
s a
cro
ss a
pplic
ations o
r la
rge a
mounts
of data
•Q
ueries a
re n
ot defined in a
dvance
•O
verc
om
e isola
ted s
yste
ms d
esig
n
•H
igh-tra
nsaction d
ata
inputs
<Insert Picture Here>
Complete Inform
ation
Management
Multimedia
Multimedia in Oracle Database
•M
ultim
edia
conte
nt subje
ct to
data
base e
nfo
rced
refe
rential in
tegrity
and tra
nsaction c
ontrol
•M
eta
data
ext
raction, editin
g a
nd indexin
g
•M
edia
-specific
featu
res s
uch a
s m
eta
data
editin
g,
thum
b n
aili
ng a
nd form
at convers
ion
•D
ata
base e
nfo
rced p
rivate
and p
ublic
meta
data
•Sim
plif
ies s
ecure
deliv
ery
of conte
nt to
stream
ing
media
serv
ers
New in 11g
•M
ultim
edia
•3X p
erform
ance im
pro
vem
ent fo
r com
mon
image p
rocessin
g o
pera
tions
•Larg
e m
edia
handlin
g (up to 1
28 T
B)
•Java A
dvanced Im
agin
g (JAI) s
upport
New in Oracle Database 11g
Critical New Data Types
RFID
Data
Types
DIC
OM
Medic
al Im
ages
3D
Spatial
Images
Multimedia in Oracle Database
•M
ultim
edia
conte
nt subje
ct to
data
base e
nfo
rced
refe
rential in
tegrity
and tra
nsaction c
ontrol
•M
eta
data
ext
raction, editin
g a
nd indexin
g
•M
edia
-specific
featu
res s
uch a
s m
eta
data
editin
g,
thum
b n
aili
ng a
nd form
at convers
ion
•D
ata
base e
nfo
rced p
rivate
and p
ublic
meta
data
•Sim
plif
ies s
ecure
deliv
ery
of conte
nt to
stream
ing
media
serv
ers
DICOM Medical Imaging Support
•U
sed b
y v
irtu
ally
all
medic
al devic
es ( C
T,
MR
I, P
ET,…
)
•D
ata
base s
upport the d
ata
managem
ent
needs o
f clin
ical m
edic
ine a
nd life s
cie
nces
•Built
-in s
upport for m
eta
data
ext
raction a
nd
searc
hin
g
•Support for privacy regula
tions ( H
IPAA ),
annota
tion a
nd form
at convers
ion
<Insert Picture Here>
Complete Inform
ation
Management
Inform
ation Lifecycle Management
Growing Data Volumes
Sourc
e: 2005 T
opTen
Pro
gra
m, N
ove
mber 2005 ©
Win
ter C
orp
ora
tion, W
alth
am
, M
A, U
SA
020
40
60
80
100 1998
1999
2000
2001
2002
2003
2004
2005
Data
base
Siz
e(T
B)
Size of the largest
data warehouse in
Winter Corp Survey
245% increase
from 2003
to 2005!
Data is Tripling every Two Years
And storage costs increase accordingly…
$0
$500,0
00
$1,0
00,0
00
$1,5
00,0
00
$2,0
00,0
00
$2,5
00,0
00
$3,0
00,0
00 '0
3 .5
tb'0
5 1.
5tb
'07
4.5t
b '09
13.5
tb'1
1 40
.5tb
If 1
gb s
tora
ge =
$72
So how do we control storage costs?
Lets take example of 13.5 terabytes…
$0
$500,0
00
$1,0
00,0
00
$1,5
00,0
00
$2,0
00,0
00
$2,5
00,0
00
$3,0
00,0
00 '0
3 .5
tb'0
5 1.
5tb
'07
4.5t
b '09
13.5
tb'1
1 40
.5tb
If 1
gb s
tora
ge =
$72
Traditional Storage Approach
All data resides on single storage tier
Hig
h P
erform
ance
Sto
rage T
ier
= $
72 p
er G
b
All
data
on a
ctive
= $
972,0
00!
Active
Active
Inform
ation Lifecycle Management
“The policies, processes, practices, and tools
used to a
lign the
busin
ess v
alu
e o
f in
form
ation w
ith the most appropriate and
cost effective IT infrastructure
from
the tim
e info
rmation is
conceiv
ed thro
ugh its
fin
al dis
positio
n.”
Sto
rage N
etw
ork
ing Industry
Associa
tion (SN
IA) D
ata
Managem
ent Foru
m
DIGITAL DATA STORAGE
High Perform
ance
Storage Tier
Low Cost
Storage Tier
Online Archive
Storage Tier
Active
Less
Active
Historical
Archive
Offline Archive
Storage Tier
Inform
ation Lifecycle Management
Partition data onto appropriate storage tier
Active
Less A
ctive
His
torical
Hig
h P
erform
ance
Sto
rage T
ier
= $
72 p
er G
b
Low
cost
Sto
rage T
ier
= $
14 p
er G
b
Read o
nly
Sto
rage T
ier
= $
7 p
er G
b
Inform
ation Lifecycle Management
Move data onto appropriate storage tier
5%
Active
35%
Less A
ctive
60%
His
torical
Hig
h P
erform
ance
Sto
rage T
ier
= $
72 p
er G
b
Low
cost
Sto
rage T
ier
= $
14 p
er G
b
Read o
nly
Sto
rage T
ier
= $
7 p
er G
b
Inform
ation Lifecycle Management
Reduce storage costs accordingly
5%
Active
35%
Less A
ctive
60%
His
torical
Hig
h P
erform
ance
Sto
rage T
ier
= $
72 p
er G
b
Low
cost
Sto
rage T
ier
= $
14 p
er G
b
Read o
nly
Sto
rage T
ier
= $
7 p
er G
b
$49,8
00
$67,7
00
$58,0
00
Impact of Partitioning?
Significantly reduces storage costs…
$0
$200,0
00
$400,0
00
$600,0
00
$800,0
00
$1,0
00,0
00
Befo
re IL
M
With
ILM
Cost of Storage
Advanced Compression Option
Compression for Mainstream
•Compress Large Application Tables
•Tra
nsaction p
rocessin
g, data
ware
housin
g
•Compress All Data Types
•Structu
red a
nd u
nstructu
red d
ata
types
•Typical Compression of 2-3 X
•C
ascade s
tora
ge s
avin
gs thro
ughout data
cente
r
Advanced Compression
Reduces storage requirements across all tiers…
5%
Active
35%
Less A
ctive
60%
His
torical
$16,6
00
$22,6
00
$19,4
00
Lets
use c
om
pre
ssio
n facto
r of 3
$49,8
00
$67,7
00
$58,0
00
Impact of Data Compression
Compression further reduces storage costs…
$0
$200,0
00
$400,0
00
$600,0
00
$800,0
00
$1,0
00,0
00
Befo
re IL
M
With
ILM
Cost of Storage
Why Oracle Database 11g?
Managing data growth
Applic
ation independent
Applic
ation s
pecific
Low
cost
Hig
h c
ost
Auto
mate
d p
rocess
Manual pro
cess
Multi tier sto
rage
Sin
gle
tie
r sto
rage
Onlin
e a
rchiv
eO
fflin
e a
rchiv
e
$972
,000
$58,
600
Oracle ILM
Optimizedstorage cost and perform
ance
•Low
Cost
•C
an u
se low
cost sto
rage to
reduce the c
ost of re
tain
ing
data
•Tra
nspare
nt to
Applic
ations
•Applic
ations a
re u
nchanged
•Enfo
rceable
Com
plia
nce
Polic
ies
•Sophis
ticate
d techniq
ues to
define a
nd e
nfo
rce d
ata
polic
ies
•Fin
e G
rain
ed C
ontrol
•Lifecyc
le o
f gro
ups o
f busin
ess d
ata
is m
anaged
dow
n to indiv
idual ro
ws
•H
ard
ware
Independent
Active
Oracle Database 11g
with Partitioning Option
Less
Active
Historical
Applications
Oracle
Desktop
Apps
Portals &
Browsers
ISV
Apps
<Insert Picture Here>
Conclusion
Managing All Your Inform
ation
•The k
ey tre
nds d
rivin
g u
nstructu
red d
ata
into
D
ata
base
•O
racle
is the leadin
g p
latform
for m
anagin
g a
ll your
info
rmation
•D
om
inant in
Location a
nd S
patial
•Leaders
in X
ML D
ata
base
•Pro
ven in Info
rmation R
etrie
val and M
edia
Managem
ent
For More Inform
ation
www.oracledatabase11g.com
Look out for
A dedicated microsite for Oracle Database 11g with more inform
ation,
assets and the latest updates
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