Talk delivered at Dataversity NoSQL Now! Conference in San Jose, August 2013. Describes primary NoSQL functionality and the key features and concerns that Enterprises should consider when choosing a NoSQL technology provider.

1. 1
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2. NoSQL Technology and
Enterprise applications –
Where the Rubber Meets the Road
Dave Segleau
Director Product Management, Oracle

3. Agenda
 How we got here
 Where we are today
 What’s important
 Sample Use Cases
3
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4. NoSQL and Big Data
Where did it come from?
SQL
JDBC,
ODBC
General
Purpose
Managed
Schemas
Security,
Backups
Analytics
…
4
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Distributed
Processing
More Flexible Schema
Management
Distributed,
Replicated
File System
Globally Distributed,
“Always On” data
Competitive Advantages
of “Fast Data”
Application
Driver
Lower TCO,
commodity HW scale-out
NoSQL databases
Flexible
Schemas
Sharded,
Replicated
Database
High Speed,
Simple Ops

5. Oracle NoSQL Database
Where is it used?
Distributed,
Web-scale
Applications
ERP
EAM
Simple Data
CRM
Management
Inventory
Control
Accting
& Payroll
Process
Mgmt
Business
Analytics
…
5
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Application
Driver
Globally Distributed,
“Always On” data
Real Time
Event
Processing
Mobile Data
Management
Competitive Advantages
of “Fast Data”
Sensor Data
Capture
Lower TCO,
Online
Gaming
commodity HW scale-out
…

6. The NoSQL Landscape
Pioneers –
Built their own
Oracle has invested in
NoSQL as a key data
management technology
Global Enterprise Technology Adopters
Source: NoSQL Market Forecast 2013-2018 by Market Research Media
6
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7. What is Oracle NoSQL Database?
SOCIAL
BLOG
SMART
METER
VOLUME
VELOCITY
VARIETY
1011001010010
0100110101010
1011100101010
100100101
VALUE
Non-relational database designed for cost effective simple queries of
high volume, velocity & variety data. Provides high performance & availability
data storage of Big Data’s simple data using a scale-out of servers design.
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8. Oracle NoSQL Database
Distributed, Scalable, Highly Available, Key-Value Database
Application
Application
Application
Driver
Driver
Storage Nodes
Datacenter A
 Simple Administration
Application
Storage Nodes
Datacenter B
 Flexible Data Model
 Predictable Performance
 ACID Transactions at scale
 Transparent Integration
 Commercial grade software and
support
8
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9. What’s Really Important?
Technical Feature
Why
Storage Model
Not really
Will merge over time
Specific Features
Somewhat
Application requirements?
Performance
Somewhat
Rapid changes, YMWV
Integration
Critical
Long term, Repetitive cost
Reliability/Support
Critical
Early products, Product
direction
Predictability
9
Importance
Critical
Production reqs & SLAs
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10. Integration
Oracle NoSQL Database: Integrated out of the box
 Query NoSQL data from
Oracle Database
 Access NoSQL data from
Hadoop for DW and analytics
 Share data with Coherence for
extensible in-memory cache grid
 Persist history & event streams
for processing with OEP
 Store & query RDF data using
Oracle RDF for NoSQL
10
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11. Reliability & Support
Oracle NoSQL Database: Enterprise-Grade Software & Support
 Decades of widespread, reliable deployment experience
 15+ years of mission-critical non-relational database technology
 Oracle Support available for both Enterprise and Community Edition
11
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12. Predictability
Oracle NoSQL Database: Designed for Predictability - Insert Test
Insert Performance
450000
Oracle NoSQL…
Other NoSQL…
400000
Throughput (ops/sec)
350000
300000
250000
200000
150000
100000
50000
0
0.2
1.8
3.5
5.2
6.8
8.5
10.2
Time (minutes)
12
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11.8
13.5
15.2
16.8
18.5

13. Predictability
Oracle NoSQL Database: Designed for Predictability
95/5 Read/Update Throughput
70,000
7
60,000
6
50,000
5
40,000
4
30,000
3
20,000
2
10,000
1
0
144
(48x3)
20%
40%
60%
80%
216
(72x3)
216*
(72x3)
Nodes (Shards x RF)
Throughput (ops/sec)
13
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Read Latency (ms)
Update Latency (ms)
Average Latency (ms)
8
0
Throughput (ops/sec)
80,000

14. Oracle NoSQL Database
When it really matters
Integration
Reliability & Support
Predictability
14
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15. Agenda
 How we got here
 Where we are today
 What’s important
 Sample Use Cases
15
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16. Oracle NoSQL Database Use Case Summary
Web-Scale
Transaction Processing
Flexibility
Real-Time
Event Processing
High velocity, volume,
variety, data capture and
update
Guaranteed low latency
simple lookups for endcustomers and users
Real time events trigger
rules that perform low
latency lookups
Web browsing, E-Retail,
Online Gaming, CDR
processing, Sensor data
capture
16
Web-Scale
Personalization
Advertising, Product
Recommendations, Online
Catalogs, Social Media,
Profile Management,
Personalization
Medical Monitoring, Factory
Automation, Quality of
Service, Oil & Gas, Geolocation Tracking
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Point
Point

17. NoSQL for Web Commerce Customer Service
Call center routing and context retrieval
Objectives
Benefits
 Web commerce customer service
 Easy to use flexible data formats
 Enable call center routing and dispatch
 Horizontally scalable, low latency database
 Improved product up-sell and cross-sell
 Predictable performance
Solution
 Geographically distributed enterprise access
 Oracle NoSQL database for customer
profile data capture and access
 Build repository for unstructured and
variable data record formats
 Deploy distributed database for world-wide
access
17
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Customer Service
End Customers
Click-2-Call
Application
NoSQL DB Driver
Customer Profiles

18. NoSQL for Customer Experience Management
Brand enhancement and loyalty enrichment
Objectives
Benefits
 Centralized view of customer data within
 Simple, flexible data format
federated database environment
 Dynamic, customer influence tactics
 Highly scalable with predictable performance
Solution
 Oracle NoSQL database for central
 Enterprise support, technology commitment and
roadmap
Customer Care & End
Customers
repository of meta data for customer
activity, scheduling and “next generation
experience” events
 Oracle database for financial data,
reservation and property management
Event Scheduling
Application
NoSQL DB Driver
Reservation Systems
18
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Staff & End Customers
Customer Profiles

19. 360 Degree Customer Profile
Managing what you know
Customer Service
End Customers
Click-2-Call
Web Service Application
Driver
Legacy Transactional
Systems
19
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360 View Customer Profiles
Recommendation
Engine

20. 360 Degree Customer Profile
Date
JSON
Date
JSON
Date
JSON
Purchases
Web Traffic
Minor Key
Date
Customer
ID
JSON
Profile
JSON
Interests
JSON
Future?
20
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Major Key
Value

21. Real-Time Event Processing
Incoming
Event
Stream Processing
21
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Event
Buffer
Long-Term
Storage

22. NoSQL for Fraud Scoring
Financial Services coordinated theft prevention
Benefits
 Combine data sources for complex scoring
 Simple data model, flexible transactions
 Detect, alert analyst with low latency
 Scalable, Low Latency data management
 Handle burst seasonal transaction volumes
 Easy configuration and administration
Solution
 Enterprise Support
 Oracle Coherence cluster for real time
transaction object management
 Oracle NoSQL Database for fraud model
and customer profile management
 Oracle Database for statistics and fraud
modeling-related data
22
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Transaction Authorization
Processor
Objectives
Application Data Ingestion
NoSQL DB Driver

23. Deployment Options
Engineered System
Commodity Cluster
23
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24. Oracle NoSQL Database
When you need:
For Applications that do:
Integration
Reliability & Support
Web-Scale Personalization
Predictability
24
Web-Scale Transaction Processing
Real-Time Event Processing
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25. 25
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26. 26
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27. Appendix
27
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28. Choose the RIGHT tool for the job
Hadoop Distributed File
System (HDFS)
Oracle NoSQL Database
Oracle Database
File System
Key-Value Database
Relational Database
No inherent structure
Simple data structure
Complex data structures, rich SQL
High volume writes
High volume random reads and
writes
High volume OLTP with 2-PC
Limited functionality,
roll-your-own applications
Simple get/put high speed storage,
flex configuration
Security, Backup/Restore, Data life
cycle mgmt, XML, etc.
Batch Oriented
Real-Time, web-scale specialized
applications
General purpose SQL platform,
multiple applications, ODBC, JDBC
28
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29. Web-Scale Transaction Processing
Salient Aspects
• NoSQL DB for High velocity, high
volume, high variety, transactional
data capture
Enterprise
Data Warehouse
Application
Driver
• Hadoop and Data Warehouse for
analytics
• Applications: Web browsing, Web
Retail, CDR processing, Sensor data
capture
29
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Acquire
Organize
Analyze

30. Web-Scale Personalization
Business Users
End Customers
Salient Aspects
• Platform for real-time content delivery
• Content & market segmentation is acquired
and analyzed in Hadoop & RDBMS
Multi-Reporting
Dimensional
Application
• NoSQL provides low latency content lookup
and delivery to end-customers or users
• Applications: Advertising, Product
Recommendations, Online Catalogs, Social
Media, Profile Management,
Personalization
30
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Driver
Acquire, Analyze, Prepare
Content Delivery

31. Real-Time Event Processing
Salient Aspects
• Real time events trigger rule execution in
Oracle Event Processor
• OEP rules perform low latency lookups
to Oracle NoSQL DB for additional data
• Applications: Utilities, Medical
Monitoring, Factory Automation, Quality
of Service, Oil & Gas Exploration, Geolocation Tracking
31
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Rule Action
Low Latency
Lookups
Driver

32. NoSQL for Social, Online Betting
Real-time, In-Play Gaming Platform
Objectives
 Scalable in-play sports betting platform
 Increase new business revenue
 Improve operational efficiency
 “Oracle NoSQL Database enabled the rapid,
scalable processing of incoming XML, ensuring
high available and guaranteed event ordering.”
James Anthony
Chief Technology Officer
Passoker
Solution
Real-Time, In-Play Sports Betting
 Match in-play bets with incoming events
 Promote interaction between customers
 Scale system with customers and events
XML
App
Providers
 Feeds MySQL database for revenue
32
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Event Capture
& Store
Accounting &
Operations
NoSQL DB
tracking and operational reporting
Customers
MySQL

33. NoSQL for Web Scale Retail
Dynamic catalog and customer insight profiling
Objectives
Benefits
 Handle exponential growth in products and
 Easily manage volatile, evolving data formats
customers with highly dynamic profiles
 Defend competitive margins – new players
 Scalable, Low Latency data management
Solution
 Online, easy configuration and administration
 Flexible transaction options
 Oracle NoSQL database for rich customer
profile management, product catalog
browsing and shopping cart management
 Oracle Database for financial transactions,
inventory and order fulfillment, business
analytics and insight
Application
NoSQL DB Driver
Order Processing
33
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E-Retail & Order Fulfillment
Delivery

34. NoSQL for Data Scalable PaaS
Subscription Web-Scale services infrastructure for financial industry
Objectives
 Provide special purpose application
server services to financial institutions
 Provide cost competitive subscriptions
Solution
 “Oracle NoSQL DB delivers high availability, scalability
and performance for our customers who are dealing with
unprecedented data volume, velocity and variability
challenges.”
Alex Korotkoff
Chief Executive Officer
EngineON
 Oracle NoSQL Database for unstructured
data capture and application object
persistence
 Oracle Database for business analytics and
insight into the data collected
34
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Application
NoSQL DB Driver

35. NoSQL for Customer Loyalty
Coupon redemption, Vendor recommendations
Objectives
 Scalable customer loyalty portal
 New multi-channel consumer model
 Improve operational efficiency
 “Oracle NoSQL DB handles high volumes of
customer loyalty operations every day, minimizing
the load to our OLTP Oracle RAC Database.”
Frank Puechl
Senior Data Architect
PAYBACK
Solution
 Personalized multi-channel coupon
generation and redemption
 Cross-promote affiliated vendors
 Scale system with customers and
participating retailers
Retail Partners
End Customers
Application
NoSQL DB Driver
Customer
Profiles
35
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Market Segmentation
Available Coupons

36. NoSQL in Oracle Communications Mgmt
Elastic Charging Engine
Objectives
Benefits
 Improve billing and revenue management
 Manages rapid growth in data volumes
 Calculate charges for any service combo
 Cost effective High Performance and Scalability
 Provide scalable CDR processing
 Integrated with Oracle Coherence
Solution
Application Data Ingestion
 NoSQL database for rated event
persistence and consumption by
downstream systems
 Coherence memory optimization using
NoSQL database for out of band data
36
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OCM Rated Event s
Processor
 Coherence cluster for real time event rating
NoSQL DB Driver