This document summarizes a 6-session presentation on using data virtualization to solve key data integration challenges. The first session introduces data virtualization, covering how it can make business intelligence more agile, integrate big data, combine service-oriented architecture with data integration, enhance master data management and data warehousing, and create a single view of the customer. The presentation agenda is outlined and includes explanations of data virtualization, how it enhances existing architectures, demonstrations of its capabilities, Q&A, and next steps. Customer case studies show data virtualization delivering cost savings, productivity improvements, and faster access to new data sources and reports.

1. © 2013 Denodo Technologies
6 Sessions Covering Key Data Integration Challenges
Solved with Data Virtualization
Session 1: Data Virtualization: An Introduction
Topics covered:
*Making BI agile
*Integrating Big Data
*Combining SOA and Data
Integration
*Enhancing and Extending MDM
and DW
*Creating a single view of your
customer

2. © 2013 Denodo Technologies
Today’s Speakers
■ Paul Moxon
Senior Director, Product Management
■ Tom Forman
Senior Solutions Consultant

3. © 2013 Denodo Technologies
Agenda
■ What is Data Virtualization and why is it important
■ How Data Virtualization enhances existing data
architectures
■ Demonstration of Data Virtualization capabilities
■ Summary
■ Q&A and Next Steps

4. © 2013 Denodo Technologies
Agenda
■ What is Data Virtualization and why is it important
■ How Data Virtualization enhances existing data
architectures
■ Demonstration of Data Virtualization capabilities
■ Summary
■ Q&A and Next Steps

5. © 2013 Denodo Technologies
Enterprise Data Challenges Getting Bigger
Inventory System
(MS SQL Server)
Log files
(.txt/.log files)
CRM
(MySQL)
Billing System
(Web Service - Rest)
Big Data, Cloud
(Hadoop, Web)
Product Catalog
(Web Service -SOAP)
Customer Voice
(Internet, Unstruc)
Product Data
(CSV)
Exponential Data
Growth
Data Silos
IT Complexity,
Rigidity
Inherent Latency
Move to Cloud
Unstructured & Web
High Costs
Agile BI, big data, cloud, real-time, unstructured… these are some of the trends
driving need for a new data approach to complement existing ones

6. © 2013 Denodo Technologies
What is Data Virtualization?
Data Virtualization combines disparate data sources
into a single “virtual” data layer that provides
unified access and integrated data services to
consuming applications in real-time (right-time)
BASE
VIEW
BASE
VIEW
BASE
VIEW
DERIVED
VIEW
Connect
&
Virtualize
Combine
&
Integrate
Publish
as a Data
Service

7. © 2013 Denodo Technologies
Data Virtualization – Key Tenets
■ Realize Value from all Data
• Universal data access across internal, external, web,
structured or unstructured
■ Virtualization Minimizes Replication
• Flexible integration options with fine control – virtual
real-time, cached or scheduled batch
■ Abstracted and Unified Data Services
• Abstracted data delivered as reusable data services
Managed access control, service levels
■ Enterprise Class – Powerful and Agile
• Performance and scalability
• Data governance, lineage, management
• Easily integrated into existing IT infrastructure

8. © 2013 Denodo Technologies
Agenda
■ What is Data Virtualization and why is it important
■ How Data Virtualization enhances existing data
architectures
■ Demonstration of Data Virtualization capabilities
■ Summary
■ Q&A and Next Steps

9. © 2013 Denodo Technologies
Consumers
Sources
Data Virtualization – Key architectural capabilities
■ Abstraction – decouple data
complexities from the business
logic
■ Logical Representation –
define canonical data models for
business unit and enterprise
■ Centralized Governance –
common model for security and
data lineage
■ Real/Right-time Data
Access – data on demand,
cached or scheduled batch
■ Lighter Agile Integration –
reusable models are easy to
transform, combine, change
■ Reduced Replication Costs –
HW, SW, governance costs of
unnecessary data replication
■ Integrates with Existing
Tools – leveraged through hybrid
models
ETL DW DM ODS
Virtual Data Layer

10. © 2013 Denodo Technologies
Data Virtualization Platform Architecture
DataConsumers Enterprise Applications, ESB Reporting, BI, Portals Mobile, Web, UsersDataVirtualization
Design Tools
Optimizer
Cache
Scheduler
Monitoring
Governance
Metadata
Security
Publish Real-time (Right-time) Data Services
Combine Transform, Improve Quality, Integrate
Connect Normalized Views of Disparate Data
Denodo Platform
Library of Wrappers Web Automation Any Data or Content Read and Write
DataSources
Databases &
Warehouses
Enterprise
Applications
Cloud / SaaS
Applications
XML, Excel,
Flat Files
Big Data,
NoSQL
Web 2.0
Soc. Media
PDF, Docs,
Index, Emails
More Structured Less Structured
Business Solutions
Access Information- as-
a-Service
Denodo Platform
Right Information
at the Right Time
Disparate Data
Any Source
Any Format
Multiple Protocols,
Formats
Linked Data Services
Query, Search, Browse
Request/Reply,
Event Driven
Secure
Delivery

11. © 2013 Denodo Technologies
Data Virtualization Platform Architecture
DataConsumers Enterprise Applications, ESB Reporting, BI, Portals Mobile, Web, UsersDataVirtualization
Design Tools
Optimizer
Cache
Scheduler
Monitoring
Governance
Metadata
Security
Publish Real-time (Right-time) Data Services
Combine Transform, Improve Quality, Integrate
Connect Normalized Views of Disparate Data
Denodo Platform
Library of Wrappers Web Automation Any Data or Content Read and Write
DataSources
Databases &
Warehouses
Enterprise
Applications
Cloud / SaaS
Applications
XML, Excel,
Flat Files
Big Data,
NoSQL
Web 2.0
Soc. Media
PDF, Docs,
Index, Emails
More Structured Less Structured
Business Solutions
Access Information- as-
a-Service
Denodo Platform
Right Information
at the Right Time
Disparate Data
Any Source
Any Format
Multiple Protocols,
Formats
Linked Data Services
Query, Search, Browse
Request/Reply,
Event Driven
Secure
Delivery
Universal
Data Access
Agile High
Performance
Universal
Data
Publishing
Unified Data
Governance
Unified
Virtual Data
Layer

12. © 2013 Denodo Technologies
• Real-time Reporting
• Unified Dashboards
• Virtual Logical DW/Marts
• Big Data/Predictive Analytics
• Self-Service & Mobile BI
• Customer Single View
- Call Center, Portals
• Data Services for BPM
• Operational Decision Data
• Unified Desktops
- Underwriting, Loans,
• Big Data for Enterprise
• Cloud/SaaS Integration
• Web Data Aggregation
• Social Media, Feedback
• Multi-structured
• Linked Data
Services (IaaS)
• Unified Data Layer
• Logical Data Abstraction –
Migration/Modernization
• Data Mashups
• Unified Source of Reference -
Virtual MDM
Typical Data Virtualization Use Cases
• DS for Mobile Apps
Agile Business
Intelligence
Unified View
Big Data,
Cloud Integration Data Services

13. © 2013 Denodo Technologies
Data Virtualization – Customers
Agile Business
Intelligence
Unified View
Big Data,
Cloud Integration Data Services

14. © 2013 Denodo Technologies
Data Virtualization – Customer Success
Cost savings of $600,000
and 15% ROI in 3 months
to deliver secure and
timely manner
information
50% improvement
in productivity with 75%
reduction in-store waiting
times and 87% reduction
in errors due to manual
data input
Access new data
sources 60% faster
with change requests
met in just a few days with
IT using 40% less
analyst time to
support.
New suite of agile
reports to sales &
management in 3X the
speed with 1/3rd
the team size
Agile Business
Intelligence
Unified View
Big Data,
Cloud Integration Data Services

15. © 2013 Denodo Technologies
Agenda
■ What is Data Virtualization and why is it important
■ How Data Virtualization enhances existing data
architectures
■ Demonstration of Data Virtualization capabilities
■ Summary
■ Q&A and Next Steps

16. © 2013 Denodo Technologies
Agenda
■ What is Data Virtualization and why is it important
■ How Data Virtualization enhances existing data
architectures
■ Demonstration of Data Virtualization capabilities
■ Summary
■ Q&A and Next Steps

17. © 2013 Denodo Technologies
Consumers
Sources
Data Virtualization – Key architectural capabilities
■ Abstraction – decouple data
complexities from the business
logic
■ Logical Representation –
define canonical data models for
business unit and enterprise
■ Centralized Governance –
common model for security and
data lineage
■ Real/Right-time Data
Access – data on demand,
cached or scheduled batch
■ Lighter Agile Integration –
reusable models are easy to
transform, combine, change
■ Reduced Replication Costs –
HW, SW, governance costs of
unnecessary data replication
■ Integrates with Existing
Tools – leveraged through hybrid
models
Virtual Data Layer
ETL DW DM ODS

18. © 2013 Denodo Technologies
Better Quality Information
 Focus on business information needs
 Integrate disparate data silos
 Include Web/Cloud, Big Data, unstructured
Lower Cost & Increased Agility
 Lower integration costs by 80%
 Flexibility to Change
 Real-time (Right-time) Data Services
Fast Time to Solution
 Projects in 4-6 weeks
 ROI in <6 months
 Adds new IT and Business capabilities
Data Virtualization Benefits - Summary

19. © 2013 Denodo Technologies
Agenda
■ What is Data Virtualization and why is it important
■ How Data Virtualization enhances existing data
architectures
■ Demonstration of Data Virtualization capabilities
■ Customer Successes
■ Q&A and Next Steps

20. © 2013 Denodo Technologies
Data Virtualization – Questions?

21. © 2013 Denodo Technologies
Data Virtualization - Next Steps
Move forward at your own pace
 Whitepaper: Data Virtualization Goes Mainstream – Solving Key Data
Integration Challenges Where Traditional Technologies Fall Short
http://www.denodo.com/en/resources/whitepapers/data_virtualization/index.php
 Attend Packed Lunch Webinar Sessions – Covering Data Virtualization
for…
Move forward with one of our Data Virtualization experts
 Phone: (877) 556-2531 | Email: info@denodo.com
 www.denodo.com
 Making BI Agile
 Integrating Big Data
 Combining SOA and Data Integration
 Enhancing and Extending MDM and DW
 Creating a Single View of Your Customer

22. © 2013 Denodo Technologies
Next Session:
Topics covered:
*Making BI agile
*Integrating Big Data
*Combining SOA and Data
Integration
*Enhancing and Extending MDM
and DW
*Creating a single view of your
customer
Thank You!
Delivering an Agile BI Strategy with Data Virtualization
Wednesday, May 14th 2014
Register Now