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AGILE DATA ARCHITECTURE

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Agile Development

2

• Lengthy setup, load, confguration, tear do n processes pre!ent short agile cycles• High cost "arrier to #ore en!iron#ents $ alternati!e is shared su"set copies

hich increases ris%•

&ignifcant e'ort around integrated testing and slo reco!ery (urther li#itadoption

)ro*ect tea# A

)ro*ect tea# +

)ro*ect tea# C

)ro*ect tea# D

Days toee%s o(

setup e'ort

)roduction D+

&u"setted, sharedde! copy -

&u"setted, sharedde! copy 2

&etup, teardo n ti#e . cycle

Testing Ti#e . cycle

/uery e0ecution ti#e . cycle

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Data Warehousing

• )rocess o!erhead o( pulling data (ro# di'erent "usiness units creates longdelays

• Re(reshing (ro# (ro# e0act point in ti#e or transaction across sources adds

co#ple0ity• )ro*ect delays eat into test ti#e resulting in poor initial data uality and higher

)rod D+- )rod D+2 )rod D+8 )rod D+B )rod D+4

Consolidated D+

ro!ect " lan

ro!ect " Actual

Testing Ti#e ;eeded

Testing ro!ect delays due to #$%& sync refreshes&tuning etc'

B

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Data Warehousing With Delphix

• Self service( e0tends independent access to pro*ect tea#s, decouples reliance onproduction tea#s

• Federated"sync( across #ultiple sources through integrated log shipping and

application• Accelerate pro!ects( "y 475 hile increasing test ti#e, data uality, and success 4

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)pgrades& )pdates& atching

Days toee%s (ro#

appro!al todeli!ery

)ro!isionde!

en!iron#ent

Upgrade to --gand !alidate

Reco!er #ountD+ to 9racle --g

ho#e

Confgure, tuneupgraded D+ (or

usa"ility per(or#ance testing

)arallelen!iron#ents

needed (orco#parati!e

testing

• High cost o( creating copies to test co#pati"ility ith !arious appconfgurations

• &ignifcant reliance on production tea#s i#pacts other pro*ects•

;eed (or (re uent re(reshes and iterati!e testing introduces hugeoperational "urden

/A andrehearse

upgrade path

Issuesencountered

Create and test(all"ac%

en!iron#ent

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)pgrades& )pdates& atching with Delphix

• %ower pro!ect costs 1 storage, "and idth, la"or• *educed ris+ 1 #ore en!iron#ents (or paralleliFation, latest data, greater

repeata"ility•

, - ./ faster upgrades 1 eli#inate operational, hard are "ottlenec%s

*0V1S102M)%$1 %# 30 1#S

F0* A*A%%#%D#V& 4A& )A$&

FA%%5A36 #$3

Upgrade to--g and!alidate

Reco!er #ount D+ to9racle --g

ho#e

Confgure,tune

upgradedD+ (or

usa"ility per(or#anc

e testing

/A andrehearseupgrade

path

)repare andupgrade

production

*#F*#S7& *0%%5A36 02D#MA2D

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Data rotection

• I#pro!ing R)9, RT9 increases storage costs, "ac%up indo s, andnet or% i#pact

• Containing costs leads to R)9, RT9 co#pro#ise and increases

do nti#e ris%• Reco!ery processes are slo and error prone

47 (or tapearchi!al

-7 (or dis%"ac%ups

)roduction D+

Shortterm

Midterm

%ongterm

2 (or DR,ash"ac%

J

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Data rotection With Delphix

• #liminates tradeo8( superior R)9, RT9 along ith 375 lo er storage costs,3J5 (aster reco!ery

• #9cient networ+ use 1 (ore!erKincre#ental updates #ini#iFe net or%

o!erhead• V, ( =irtual to physical #igration e0tends protection to production sources

7 4 storage supportsee%s o( continuous

"ac%up points plus all!irtual copies

3

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latform or Data 3enter Migration

• Huge #igration testing in(rastructure andla"or costs

• )hased, #ultiKyear pro*ect•

High ris% and !aria"ility in "oth cost ande'ort

Target Data Center

#xample( )roduction target on 9racle--g, RHEL

&ource Data Center#xample( )roduction

source9n 9racle -7, RHEL 4

-7

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latform or Data 3enter MigrationWith Delphix

• 9nKde#and copies that occupy less than -75 storage o( physicalcopies

• 345O lo er e'ort to pro!ision, re(resh, roll"ac% (or uid #igrationrehearsals

• +and idth ePcient sync o!er @A; through Qincre#ental (ore!er

Target Data Center

#xample( )roduction target on 9racle--g, RHEL

&ource Data Center#xample( )roduction

source9n 9racle -7, RHEL 4

--

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D ata V iso r)

M an age m en t)

D xFS)

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Than% :ou