big data strategy
TRANSCRIPT
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Enrich your Data Warehouse A Big Data Sales Play
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Enrich Your Data Warehouse Agenda
The Data Challenge
Big Data Enabling Technologies
Architecting a Big Data Global Solution
Solution Value & Benefits
Customer Examples
Summary & Next Steps
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The Data Challenge
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695,000 Status updates
510,040 Comments
2,000,000 Search Queries
204,166,667 Emails
571 New
Websites
The Data Challenge Leveraging untapped data for commercial gain
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MEDIA/ ENTERTAINMENT
Viewers / advertising effectiveness
Cross Sell
COMMUNICATIONS
Location-based advertising
EDUCATION & RESEARCH
Experiment sensor analysis
Retail / CPG
Sentiment analysis
Hot products
Optimized Marketing
HEALTH CARE
Patient sensors, monitoring, EHRs
Quality of care
LIFE SCIENCES
Clinical trials
Genomics
HIGH TECHNOLOGY / INDUSTRIAL MFG.
Mfg quality
Warranty analysis
OIL & GAS
Drilling exploration sensor analysis
FINANCIAL SERVICES
Risk & portfolio analysis
New products
AUTOMOTIVE
Auto sensors reporting location, problems
Games
Adjust to player behavior
In-Game Ads
LAW ENFORCEMENT & DEFENSE
Threat analysis - social media monitoring, photo analysis
TRAVEL & TRANSPORTATION
Sensor analysis for optimal traffic flows
Customer sentiment
UTILITIES
Smart Meter analysis for network capacity,
Fact: Data Expansion
ON-LINE SERVICES / SOCIAL MEDIA
People & career matching
Web-site
optimization
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EDUCATION & RESEARCH
Experiment sensor analysis
Retail / CPG
Sentiment analysis
Hot products
Optimized Marketing
HEALTH CARE
Patient sensors, monitoring, EHRs
Quality of care
LIFE SCIENCES
Clinical trials
Genomics
OIL & GAS
Drilling exploration sensor analysis
Games
Adjust to player behavior
In-Game Ads
LAW ENFORCEMENT & DEFENSE
Threat analysis - social media monitoring, photo analysis
UTILITIES
Smart Meter analysis for network capacity,
Fact: Data Expansion
ON-LINE SERVICES / SOCIAL MEDIA
People & career matching
Web-site
optimization
Finding and Monetizing
Unknown Relationships
Analyze Bigger, More
Diverse Data Sets
Data Driven
Business Decisions
MEDIA/ ENTERTAINMENT
Viewers / advertising effectiveness
Cross Sell
COMMUNICATIONS
Location-based advertising
HIGH TECHNOLOGY / INDUSTRIAL MFG.
Mfg quality
Warranty analysis
FINANCIAL SERVICES
Risk & portfolio analysis
New products
AUTOMOTIVE
Auto sensors reporting location, problems
TRAVEL & TRANSPORTATION
Sensor analysis for optimal traffic flows
Customer sentiment
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What our customers are doing, Today A sampling of Production Systems (I)
• Move to extremely fine-grained category management
• Leverage new data to reduce defects / returns CPG
• Generate data sets to support regulatory requirements
• Reduce system cost and complexity Banking
• Replace current ETL solution with Hadoop
• Drive cost out of environment Comms
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What our customers are doing, Today A sampling of Production Systems (II)
• Network quality of service
• Ad-hoc systems diagnostics and trouble shooting Comms
• Understand data that spans both “old” and new media
• Drive customer as well as content decisions Media
• Consolidation of data streams for quality analysis
• Ad-hoc trouble shooting and early detection of quality issues Automotive
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Generalizing the Use Cases
1. Save Cost => Offload of batch processing
1. Drive Value => Enriching the data warehouse
Two distinct themes emerge
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Big Data Enabling Technologies
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New as well as Proven Technologies
The Hadoop Family
The NoSQL Family
Event Processing Technologies
Oracle Database / Oracle Exadata
And more…
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Hadoop
Framework for distributed processing
Large Data Sets
Clusters of Computers
Simple Computing Models
Highly Available Service
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Cross-Platform Strengths
Exadata +
Oracle Database
Extreme Performance
Highly Secure
Analytic SQL
Rich Tool Set
Vast Expertise
Big Data Appliance +
Hadoop
Low-cost Scalability
Flexible Schema on
Read
Abstract Storage Model
Open
Rapid Evolution
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Architecting a Big Data Global Solution
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Capturing Data Expansion Enrich Data Warehouse with Data Reservoir
Marts Data Warehouse
Σ Σ
Business
Intelligence
• Online
• Scalable
• Flexible
• Cost
Effective
Hadoop
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Capturing Data Expansion Instant Responses to Streaming Data
Data Warehouse Business
Intelligence
• Online
• Scalable
• Flexible
• Cost
Effective
Hadoop
Event Decisions
NoSQL
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Oracle Big Data Solution
Oracle BI Foundation Suite
Oracle Real-Time Decisions
Endeca Information Discovery
Business Analytics
Oracle
Advanced
Analytics
Oracle
Database
Oracle
Spatial
& Graph
Big Data Platform
Oracle Big Data Connectors
Oracle Data Integrator
Fast Data
Oracle Event Processing
Apache Flume
Oracle GoldenGate
Oracle
NoSQL
Database
Cloudera
Hadoop
Oracle R
Distribution
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Big Data Connectors and Data Integrator
Big Data Appliance +
Hadoop
Exadata +
Oracle Database
15TB / hour
10x Faster
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Analyze All Your Data In-Place
Big Data Appliance +
Hadoop
Exadata +
Oracle Database
Advanced
Analytics
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Expose All Data to End Users
Big Data Appliance +
Hadoop
Exadata +
Oracle Database
Endeca
OBI EE
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Oracle Big Data Solution
Oracle BI Foundation Suite
Oracle Real-Time Decisions
Endeca Information Discovery
Business Analytics
Oracle
Advanced
Analytics
Oracle
Database
Oracle
Spatial
& Graph
Big Data Platform
Oracle Big Data Connectors
Oracle Data Integrator
Fast Data
Oracle Event Processing
Apache Flume
Oracle GoldenGate
Oracle
NoSQL
Database
Cloudera
Hadoop
Oracle R
Distribution
Scalable key-value store
Scalable, low-cost data storage
and processing engine
Statistical analysis framework
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Solution Value & Benefits
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Big Data Appliance for Hadoop and NoSQL
Multi-Purpose
Big Data
Platform
Simplified
Operations
Comprehensive
Security
Lower TCO
than DIY
Hadoop
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Big Data Appliance
Includes all components of Cloudera Enterprise and Add-ons
– Cloudera CDH
– Cloudera Impala
– Cloudera HBase (with Apache Accumulo)
– Cloudera Search
– Cloudera Manager (incl. BDR and Navigator)
Oracle NoSQL Database
Oracle R Distribution
Multi-Purpose Big Data Platform
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Big Data Appliance
Beats a DIY Cluster on:
Initial Cost
Time to Value
Operations
Performance
Lower TCO than DIY Hadoop
40% Cost Savings
33% Faster Time to
Value
$0k
$700k
DIY BDA
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Big Data Appliance
Out-of-the-Box Performance
One-command:
– Installation
– Patching
– Updating
– Expansion
Enterprise Manager Plug-in for Big Data Appliance
Single Contact for all Support
Simplified Operations
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Big Data Appliance
Authenticate
Authorize
Audit
Comprehensive Security
Databases Relational Data
Hadoop Non-Relational Data
Operating Systems
Audit Vault
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Customers Examples
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Western European Media Company Creating a linked customer analytics system
Objectives
Maximizing customer value
Optimizing campaign cost through
Automation and Targeting
Solution
Single, rich customer repository based on
Big Data Appliance and NG Data® Lily®
Analytics drive: subscriber management (up-sell/cross-sell,
churn, conservation)
editorial use (article engagement, adapt content
over time)
- Toyota Global Vision
Customer Data
Store
Digital, RDBMS,
External
BDA
Mobile
Web
Subscribers
NG Data
Lily
Customer
Analytics
Phase 1:
Improved Data Quality
Single View of all Customers improves
customer management
Benefits
Social
Customer
Analytics &
Aggregated data
Oracle Data
Warehouse
Business
Objects
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US-based Bank Lowering Costs by Simplifying IT Infrastructure
Objectives
Comply with regulations requiring more
data to support stress testing
Reduce IT costs & streamline processing
by eliminating duplicate data stores
Solution
Single, reliable BDA/Exadata-based ODS
supporting all downstream systems
Landing zone & archival repository for
both structured & unstructured data
Use Exadata as “19th” BDA node
- Toyota Global Vision
Operational Data Store Mainframe,
RDBMS, more
BDA Exadata
• Agile business
model
• All data
• De-normalized
& Partial-
normalized
• Normalized
• Aggregate data
• EDW
Oracle Enterprise Manager
Oracle Data Integrator
Data Delivery
Master
S1
Master
S2
Master
Sn SOA/API
CRMS
Other
Fast access to 85% more data
Lower costs, simplified architecture and
fast time to value
Benefits
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Thomson Reuters Identifying Cross Sell and Upsell Opportunities
Objectives
Maximize cross-sell opportunities
Lower cost and complexity
Solution
Economically capture all customer activity
Testing 50M events/sec ingest rates into
BDA and Oracle NoSQL DB
Feeds Exadata EDW for customer
profitability & segmentation analysis
Rick King Chief Operating Officer for Technology
Thomson Reuters
“Oracle's engineered systems… are geared
toward high performance big data delivery - and
that is exactly the type of work we do”
BDA Exadata Exalytics
EDW
Sandbox & DR
Event Capture
& Store
Interactive
Analytics
Research
Applications
Upsell/Cross Sell
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Summary
Business requirements are here now
– Your end users want more analytics and more data
Technology is available
– Hadoop, NoSQL, Event Processing are commercially available
Technology is increasingly easy to consume
– Oracle Big Data Appliance, Oracle Exadata make deployment much
simpler compared to DIY systems
Your competitors are doing this today – so should you!
Enrich Your Data Warehouse Now!
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Next Steps and Call to Actions (1)
Book now your « Big Data Workshop »
– Discovery
Industry focused
Aimed at Business (Analysts, PMs, Exec Sponsors)
– Architecture
Enrich Your Data Warehouse option
Aimed at Head of Architecture, EA, BI Infrastructure, BD initiative
– Technical
aimed at making our customers comfortable and knowledgeable with
some of the components in the Oracle Big Data Solutions Portfolio
Begin your Big Data journey
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Next Steps and Call to Actions (2)
Identify an area where new data could be a source of business
innovation and value
Define and Execute a “Big Data Discovery” project
– Identify potential data sources
– Understand which data provides most value
– Understand the structure and links are with other data
– Understand data types and volumes
Assess the results and use to help define the Big Data project
– Architecture
– Value Proposition
Begin your Big Data journey
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