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Oracle Data Warehouse Strategic Update
Ray Roccaforte
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The following is intended to outline our general
product direction. It is intended for information
purposes only, and may not be incorporated into any
contract. It is not a commitment to delier any
material, code, or functionality, and should not berelied upon in ma!ing purchasing decisions.
The deelopment, release, and timing of any
features or functionality described for "racle#s
products remains at the sole discretion of "racle.
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!our Pillars of Oracle"s DW Strategy
$ "racle as a %ystems Proider& Database 'achine
$ 'a(imum )eerage of 'assie *ardware +apabilities
$ mbedded Analytics
$ "racle as a DW %olutions Proider&$ (adata Intelligent Warehouse for Industries
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!our Pillars of Oracle"s DW Strategy
"racle as a %ystems Proider& Database 'achine
$ 'a(imum )eerage of 'assie *ardware +apabilities
$ mbedded Analytics
$ "racle as a DW %olutions Proider&$ (adata Intelligent Warehouse for Industries
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-
Sun Oracle Data#ase $achine
$ Database 'achine eliminates the comple(ityof deploying database systems
$ alanced configuration$ (treme performance and integrated analytics out of the bo(
$ Deploys in days rather than months$ Pre/built, tested, standard, supportable configuration
$ Includes *ardware Installation 0 %ite Planning
$ %oftware +onfiguration
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%&adata Hard'are (rchitecture
Data#ase )rid
$ 1 co*pute serers2345
Storage )rid
$ 36 storage serers 2745
$ 388 T High Speed dis!,or 99- T High +apacity dis!
$, -. P+I !lash
$ Data *irrored acrossstorage ser/ers
Scalea#le )rid of industry standard ser/ers for +o*pute and
Storage
Infini.and et'or1
$ Redundant 0)#3s s'itches
$ Unified ser/er 4 storage net
: 7838 "racle +orporation5
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e' %&adata 6278
$ ;ull Rac! Database 'achine for large deployments
$ +onsolidation, or )arge ")TP and DW wor!loads$ +omplements e(isting
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!our Pillars of Oracle"s DW Strategy
$ "racle as a %ystems Proider& Database 'achine
'a(imum )eerage of 'assie *ardware +apabilities
$ mbedded Analytics
$ "racle as a DW %olutions Proider&$ (adata Intelligent Warehouse for Industries
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%&adata Hy#rid +olu*nar +o*pression
$ Data is grouped by columnand then compressed
$ :uery $ode for data
warehousing$ "ptimi@ed for speed$ 06 co*pression typical$ %cans improe proportionally
$ (rchi/al $ode for
infreuently accessed data$ "ptimi@ed to reduce space
$ 3B< compression is typical
$ 4p to B8< for some data
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33
$ %un "racle Database 'achine proides semiconductorcache hierarchy
Sun Oracle Data#ase $achine;
!aster ra' scans
%&adata dis1s
00-. ra' dis1 capacity
2 ).3sec
%&adata S*art !lash +ache
,-. ra' capacity up to ,0-. user data
,0 ).3sec
Data#ase DR($ +ache
00). ra' capacity up to -. user data
00 ).3sec
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In7$e*ory Parallel %&ecution
$ Parallel uery processing across tables which are
cached in memory
$ *ow it wor!s&
$ "racle determines appropriate tables for caching$ Tables are distributed across the buffer cache in all nodes
$ During ueries, each node reads its local portion of the table
$ ;ull parallel bandwidth accessing data in memory
$ ?ot eery database obCects in a uery must be in memory to
leerage in/memory access
37
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%&adata !lash +ache
$ (adata has B T of ;lash& B- ;lash +ards aoid dis! controller bottlenec!s
$ Automatically caches freuently/accessed hot# data in flash storage
$ Intelligently manages ;lash& >ies speed of ;lash at cost of dis!
$ (adata ;lash +ache achiees& O/er *illion IO3sec fro* S:= 8?@A Su#7*illisecond response ti*es 'ith ,0 ).3sec Buery throughput
Infreuently
4sed Data
;reuently4sed Data
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3636
Scanning fro* Dis1; %&adata S*art Scan
$ (adata storage serers implement data
intensie processing in storage$ Row filtering based on EwhereF predicate
$ +olumn filtering
$ Goin filtering
$ Incremental bac!up filtering
$ Scans on Hy#rid +olu*nar +o*pressed data
$ Scans on encrypted data
$ Data $ining *odel scoring
$ 38( reduction in data sent to D serers
is common
$ ?o application changes needed$ Processing is automatic and transparent
$ en if cell or dis! fails during a uery
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!our Pillars of Oracle"s DW Strategy
$ "racle as a %ystems Proider& Database 'achine
$ 'a(imum )eerage of 'assie *ardware +apabilities
mbedded Analytics
$ "racle as a DW %olutions Proider&$ (adata Intelligent Warehouse for Industries
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Oracle In7Data#ase (nalytics
Oracle In7Data#ase (nalytics
$ Analytics ealuated EcloseF to the data
$ Integrated
$ %ecure
Oracle Data $ining; Unco/er 4 Predict
$ Adanced Predictie
Analytics
$ Adanced Algorithms
$ mbedded andIntegrated
Oracle O=(P; (nalyCe 4 Su**ariCe
$ %marter, ;aster I
$ Improed Deeloper
Productiity
$ mbedded andIntegrated
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In7Data#ase Data $ining%&adata S*art Scan
$ 'odel scoring
performed
in the (adata
%torage %erer
$ Dramatic 27/B
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%&adata Integration 'ith S(S
$ %core %A% 'odels in (adata
$ Import %A% models 2ia P'')5 to
"racle Data 'ining
$ )ogistic and 'ultiple Regressionmodels aailable today
$ *igh/performance scoring in
(adata
$ %core directly against database tables
$ 'odel scoring is e(ecuted in storage
tier using natie "racle D' capabilities
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Oracle O=(P
$ Rapid Deelopment of rich dimensional analytics$ nhances the analytic content of usiness intelligence application
$ (cellent uery performance for ad/hoc H unpredictable uery
$ ;ast, incremental updates of data sets
$ mbedded in the "racle database instance and storage.$ %afe, secure and manageable
$ enefits from and enhances (adata architecture$ Automatically gets full benefit of Database Machine Flash Cache
$ ")AP uery IH" tends to be high olume, random reads
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Oracle O=(P g Rich +alculations Deli/ered to S:=7.ased .I -ools
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O=(P $D6 dri/er fro* Si*#a for $S %&cel
: 788 "racle +orporation
$D6 Parser $D6 Pro/ider %ngine
S:= )enerator
S:= :uery of +u#e
%&cel $D6 :uery
$D6 Pro/ider forOracle O=(P
%&cel 200
(cel 7889
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!our Pillars of Oracle"s DW Strategy
$ "racle as a %ystems Proider& Database 'achine
$ 'a(imum )eerage of 'assie *ardware +apabilities
$ mbedded Analytics
"racle as a DW %olutions Proider&$ (adata Intelligent Warehouse for Industries
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$ Intelligence J Industry/specific data models
J Pac!aged adanced analytics
$ ... with (treme Performance
J Improe uery performance 38/388(
with (adata
$ K at a )ower +ost
J %implify your infrastructure
$ K for ;ast Results
J Gumpstart deelopment / delieralue uic!ly
J Automatically e(ploit "racle
performance and analytic capabilities
%&adata Intelligent Warehouse for Industries( +o*plete Data Warehouse Solution for Industries
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%&adata Intelligent Warehouse Solution for IndustriesPac!aged (perience and Technology
$ )eerage enterprise/wide data model forindustries
$ >ain insights using prepac!agedadanced analytics
.usiness Insight
$ Improe uery performance 38 /388(
$ >row solution to irtually any scale%&tre*ePerfor*ance
$ Gumpstart deelopment and delier alueuic!ly
$ )ower ris!s
!ast-i*e7to7Ealue
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%&adata Intelligent Warehouse for RetailPac1aged %&perience and -echnology
+opyright : 7838, "racle and H or its affiliates. All rights resered.
$ Improe uery performance38 /388(
$ >row solution to irtually any scale
%&tre*ePerfor*ance
$ Gumpstart deelopment and delieralue uic!ly
$ )ower ris!s
!ast Results
$ )eerage enterprise data model forretail
$ >ain insights using prepac!agedadanced analytics
.usinessInsight
$ )eerage enterprise data model forretail
$ >ain insights using prepac!agedadanced analytics
.usinessInsight
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%&adata Intelligent Warehouse for Retail+onsolidated Eie' of the %ntire .usiness
Oracle RetailData $odel
$ POS
$ Order $g*t$ Wor1force
Scheduling
Sell Side$ PO $g*t
$ Warehouse$ Pricing$ +osting
.uy Side
$ HR$ !inance$ Sales !orecasting
Inside
$ Partners$ Suppliers$ Distri#utors
Outside
200 Industry7specific$easures 4 ?PIs
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Interacti/e Dash#oards and Reportsmpowering nd 4sers
Anticipate out/of/stoc! usingstatistical forecasts
%&a*ple (nalytics; Retail
Associate products using a mar!etbas!et analysis
Analy@e store traffic and shopperconersion rates by time of day
4nderstand effectieness of promotions by store
Analy@e comparatie storeperformance oer time
2F+opyright : 7838, "racle and H or its affiliates. All rights resered.
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%&adata Intelligent Warehouse for +o**unications
%ame idea, but specific to +ommunications industry
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Interacti/e Dash#oards and Reportsmpowering nd 4sers
Identify customers that are li!ely tochurn
%&a*ple (nalyses; +o**unications
'onitor dropped call rate oer time todetect failing networ! elements
+ompare billed and actual +DRs to identifybilling errors
Analy@e sales growth oer time byproduct and organi@ation
G+opyright : 7838, "racle and H or its affiliates. All rights resered.
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%&adata Intelligent WarehousePac1aged %&perience and -echnology
+opyright : 7838, "racle and H or its affiliates. All rights resered.
$ Improe uery performance38 /388(
$ >row solution to irtually any scale
%&tre*ePerfor*ance
$ Gumpstart deelopment and delier
alue uic!ly
$ )ower ris!s
!ast Results
$ )eerage enterprise data model forIndustries
$ >ain insights using prepac!agedadanced analytics
.usinessInsight
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%&adata Intelligent WarehousePac1aged %&perience and -echnology
+opyright : 7838, "racle and H or its affiliates. All rights resered.
$ Improe uery performance38 /388(
$ >row solution to irtually any scale
%&tre*ePerfor*ance
$ Gumpstart deelopment and delier
alue uic!ly
$ )ower ris!s
!ast Results
$ )eerage enterprise data model forIndustries
$ >ain insights using prepac!agedadanced analytics
.usinessInsight
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+usto* Solutions?ey I*ple*entation -as1s
+hallenges;
$ Design a data *odel that satisfies e&isting and future reBuire*ents
$ %*ploy a di/erse s1ill set
$ IntegrateA i*ple*entA ad*inister and tune disparate technologies
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%&adata Intelligent Warehouse.est Practice I*ple*entation
+o*plete !ast Results =o'er Ris1
.enefits;
$ UtiliCe an enterprise data *odel for retail
$ =e/erage your e&isting Oracle e&pertise
$ I*ple*ented using Oracle data 'arehousing #est practices
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!ast ResultsRetail Perfor*ance $etrics and Insight out of the #o&
%peed to Value, %implified Deployment with predictable cost
.uild fro* Scratch 'ith
.est of .reed (pproachOracle %&adata
Intelligent Warehouse
'ee1s or *onths*onths or years
SiCing and +onfiguration
Define $etrics 4 Dash#oards
-raining 4 Roll7out
Data Integration
Data Integration
SiCing and +onfiguration
(nalysis and Design Define $etrics 4 Dash#oards
(nalysis and Design
-raining 4 Roll7out
-raining 4 Roll7out
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%&adata Intelligent Warehouse Solution for IndustriesPac!aged (perience and Technology
.usiness Insight
%&tre*e Perfor*ance
!ast -i*e7to7Ealue
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Su**ary; Oracle"s DW Strategy
$ "racle as a %ystems Proider& Database 'achine
$ 'a(imum )eerage of 'assie *ardware +apabilities
$ mbedded Analytics
$ "racle as a DW %olutions Proider&$ (adata Intelligent Warehouse for Industries