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“Innovation through Prediction”- Hybrid Cloud Big Data Platform
John Andrewracle !nter"ri#e Architect
John$andrew%oracle$com
dict$ In'uence$
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/afe Harbor /tatement 0he following i# intended to outline our general "roduct direction$ It i#intended for information "ur"o#e# only1 and may not be incor"oratedinto any contract$ It i# not a commitment to deliver any material1 code1or functionality1 and #hould not be relied u"on in ma2ing "urcha#ingdeci#ion#$ 0he develo"ment1 relea#e1 and timing of any feature# orfunctionality de#cribed for racle3# "roduct# remain# at the #oledi#cretion of racle$
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Agenda
Innovation Bu#ine## Driver#
4#e Ca#e Conte5t
6eference Architecture Conte5t
Hybrid Cloud /olution Conte5t
78A
1
2
3
4
5
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:hat if ;
+$ =ou 2new what "roduct# your cu#tomer# would
be the mo#t li2ely to buy in advance>)$ =ou could ma5imi?e your "ro@t# by determining
the highe#t "rice a cu#tomer will "ay for a"roduct>
9$ =ou could o"timi?e cu#tomer #ervice to re#olveconcern# "roactively before they become i##ue#>and fnally….<$ Political "artie# had a way of determining and
in'uencing the voter# to vote for them>
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:hat doe# it mean for Bu#ine##;
Increased CustomerSatisfaction and
Revenue
Drastically ReducedBusiness Risk
IncreEfficienProduc
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Core bu#ine## theme# and building bloc2# ;
Predicting andInfluencing
Model AccuracyAnytime & Anyw ere
availa!ility
"ime to #alEconomy o
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oogle 0rend Analy#i# a# of ct )*+,
PredictiveAnalytic#rediction
Big Data
oundation
Model
Accuracy
CloudDe"loyment
EconomyOf scale
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Hind#ight -E In#ight -E ore#ight
DescriptiveAnalytics PredictiveAnalytics PrescriptAnalyt
• Forecasting• Trends
• Relationships
• Analytics• Models• Semantics
• Reports• Alerts
• Discovery
• RDBMS / SQL• ( !"LA#• $areho%se
Bu#ine##!5"ectation
ArchitecturePattern
• #redi• &e t
• 'n l%
• Mach• Decis• "ptim
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Agenda
Innovation Bu#ine## Driver#
se !ase !onte"t
6eference Architecture Conte5t
Hybrid Cloud /olution Conte5t
78A
1
2
3
4
5
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C A P D “D
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Co ect ng A Pr c ng re ate Data; “Data:rangling”
Enterprise Data +on Enterprise Data
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“0raining” Pricing model ; achine &earning!ustomerPreference
!onsumerPrice'nde"
,istoricalPricin#Av#
'nventory-urnover
.e#ment'D
!ustomer.e#ment
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Have an algorithm determine what i# diOerent and theim"ortance of the diOerence# in the green and gray
metric# to @guring out "reference
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Advanced Analytic# Algorithm#More t6an 7ust linear regression to 6elp predict t6e future and discoveryrelations6ips
&ogi#tic 6egre##ion
Deci#ion 0ree#a ve Baye#
/u""ort Lector achine#
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Collaborative ilte-e"t Minin#
0o2eni?ation
0heme !5traction
Algorithm# wor2# acro## data #et# 6elational and on-6elationalQ
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Current /tate Con#traint# and a"#1 Analytical !6allen#es
• i##"eci@cation and u#ing a #am"le to e#timate the model
• 6e#ource memoryQ con#traint# of analytical #cri"t# 6 #cri"t#Q
• Analy?e data without hel" from I0
2 Data Mana#ement !6allen#es
• Com"le5ity and Co#t i##ue# re#ulted u#ing #maller data #et# for
analytic#• /maller the data #et#1 le## accurate analytical outcome#
• Data latency i##ue# increa#ed a# the re#ult of data e5i#t# inmulti"le "lace#
3 Deployment !6allen#es
• 4 front lar e Ca !5 to build and de lo the Platform
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Agenda
Innovation Bu#ine## Driver#4#e Ca#e Conte5t
eference Arc6itecture !onte"t
Hybrid Cloud /olution Conte5t
78A
1
2
3
4
5
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f "redictive analytic#Q R uni@ed data
% #cale Q"redictive model#
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Architecture Li#ion
Creating an 4ni@ed Data K Advanced Analytic
Platformfor the !ra of Big Data and the Cloud
.imple
• Any data #i?e• Any data
variety• Any "latform
nify
• !nter"ri#e AllQData
• Analyticalodel#
• 4#er Interaction
.ecure
• Control Acce##• Protect• Integrity
•
•
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Architecture 0heme#
Architect%re FitA#-i# Data Di#coveryAt-#ource Data Analytic#
At #cale and Performance
Financial Fit6educed S "er odelCa"!5 to "!5 0ran#ition
&ower 0C
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- TAnalytic#
Data'n#estion
.ervice
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TAnalytic#
*i# Data!loud
.ervice
DataPreparation
!loud.ervice
3 rd PartyData !loud
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TAnalytic#
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.ervice
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!loud.ervice
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Analytic 6eference ArchitectureBuilt it once and use it multiple times
1
2
3
4
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6eference Architecture Data low ;
• Im"ort and Inge#t• Clean#e and ormali?e• 6e"air and /tandardi?e• Cla##ify and !5tract• Augment and !nrich• Li#uali?ation
Orc6estration
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Agenda
Innovation Bu#ine## Driver#4#e Ca#e Conte5t
6eference Architecture Conte5t
,y9rid !loud .olution !onte"t78A
1
2
3
4
5
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racle Analytic# a# a /ervice PlatformPrivate1 Public and Hybrid Cloud de"loyment o"tion#
rap6 Analytics
li? i
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reali?ation
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4ni@ed Analytical odel !5ecution
!lient En#ine
racle Databa#e
4#er table#
In-#ta
O E pac@a#es )unctions
B
Oracle Advanced Analytics for ,adoop Oracle D* Advanc
*i# .;< .ervicesData Minin#
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Zic2 /tart =our Hybrid Cloud Big Data /trategy+$ uiding /ucce## actor#
• Integrate bu#ine## and technology vi#ion Identify #toc2holder#
that will carry over to im"lementationQ$ ocu# on the ne5t +)month#• Identify your target architecture
[ Avoid tunneling on one u#e ca#e• Zee" in mind Big Data i# not a cure-all
• Hadoo" i# a com"lementary to your e5i#ting !D:$ It could
very well be your “/y#tem of truth” but mo#t li2ely not your“/y#tem of record”)$ Jum" #tart your Innovation with
• racle "roven reference architecture• racle "roven Analytical "latform• racle "roven hybrid cloud de"loyment
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:hy racle Hybrid Cloud Analytical Platform
Enterprise? rade !loud !apa9ilities
Discover and
Predict B )ast
overn
.ecureData
.implify
Access to AllData
Performance Integration Availability !la#ticity an
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