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)


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


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 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



Complete Set of Connectors

Complete Set of Connectors





•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


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


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)


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


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


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

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


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


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


“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


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


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


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


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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