information excellence iisc denodo data virtualization_20130420
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Information Excellence informationexcellence.wordpress.com
Harvesting Information Excellence
Information Excellence
2013 Apr Knowledge Share Session
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2013 Apr Knowledge Share
Data Virtualization and Linked Data Services:
The foundation for Agile Business Intelligence,
Big Data and Dynamic Information Management
in the 21st century
Thank You for hosting us today
Information Excellence informationexcellence.wordpress.com
Suresh Chandrasekaran,
Senior VP, Denodo Technologies. Today’s
Speakers
Topic Abstract:
Data Virtualization has gone mainstream! It has been adopted as a
critical information management capability at major companies
worldwide and leading SI firms.
The need is driven by business users, BI analysts and application
developers wanting timely and agile data access to a broad array of
enterprise data assets, and new sources like Cloud, Big Data, NoSQL,
Web and Social Media.
Data Virtualization provides the ability to integrate disparate sources and
present them as Linked Data Services for both BI and operational use.
Can it Transform and Change the world of Data and Decisions?
Can it impact the Business Models?
Information Excellence informationexcellence.wordpress.com
Today’s Speakers
Topic Abstract:
Context and Need for Data Virtualization: How have data sources,
technologies and business needs changed?
What is Data Virtualization? What are the key capabilities and value it
provides?
Industry use cases for Data Virtualization
Analytical (Agile BI and Big Data Analytics),
Operational (Single View, Mobile & Cloud applications, Data Services, etc.)
Data Management (Logical Data Warehouse, Virtual MDM etc. ) scenarios
Data Virtualization / Linked Data Services – Live demo
Business Impact, ROI and Best practices for Data Virtualization
Q&A.
TOPIC ABSTRACT
Information Excellence informationexcellence.wordpress.com
Today’s Speakers
Suresh is a recognized expert in Data Virtualization.
Over 15 years of experience in leading integration middleware and
Web companies. Previously, a management consultant at Booz & Co
He speaks frequently at conferences on technology and its business
impact, most recently at Enterprise Data World, several regional
DAMA meetings, TDWI, Forrester EA forum, etc.
He has an MBA from the University of Michigan and undergraduate
degrees from India.
Used to be a CA and Financial Person, Mergers and Acquisitions
Enjoys Karnatik Music, his wife runs Bharatat Natyam dance school
Mid-career Travel (after Booz) – 2 yrs on motorcycle around the world
Suresh Chandrasekaran,
Senior VP, Denodo Technologies.
Information Excellence informationexcellence.wordpress.com
Today’s Speakers
Juan Lozano, Sr. Solution Consultant, Denodo
Over 7 years in the Data Integration and Data Virtualization software
industry with Denodo.
Deep experience in multiple business software implementation and
integration projects turning business needs into technical solutions.
Worked in several strategic multinational projects and interacted with
customers, at both CxO and technical levels.
Engineer (BS and MS) from Universidad Antonio de Nebrija, SPAIN
Continued Knowledge quest with UC Berkeley and Stanford
Supporting Presentation Roles
Suhaas Kodagali, Product Marketing, Denodo
B.Eng, BHU, MBA, Darden School, UVA; Worked at Cognizant in
Bangalore and USA; Works on Customer Case Studies & Marketing
© 2013 Denodo Technologies
Data Virtualization and Linked Data Services: The Foundation for Agile Business Intelligence, Big Data and Dynamic Information Management in the 21st century
Suresh Chandrasekaran suresh@denodo.com
April 20, 2013
© 2013 Denodo Technologies
Denodo thanks the Information Excellence Group and
IISc Bangalore for Hosting this Exclusive Session
We encourage comments and questions.
Please submit your Q’s to moderator with name of your org.
A recording of this presentation will be available online at
Information Excellence website and www.denodo.com
All content rights are reserved by Denodo Technologies, Inc.
© 2013 Denodo Technologies
Agenda
■ Data Challenges for Business and IT
■ Data Virtualization - Faster Access, Agile Provisioning
■ Industry Use Cases
• Analytical (Agile BI and Big Data Analytics, Logical DW, DW Prototype, etc)
• Operational (Single Customer View, Cloud Integration, Mobile Apps)
• Data Management (Data Services / IaaS, Unified Governance, Virtual MDM)
• Industry Specific Use Cases
■ BREAK: Data Virtualization Videos
■ LIVE DEMO: Data Virtualization / Linked Data Services
■ Summary - Business Impact & ROI
■ Q&A (At end of each session)
© 2013 Denodo Technologies
Key Industry Data Trends
■ Increasing data volumes
Tech innovations and new data collection methods like machine data, weather sensors, web logs, social media
■ Increasing data usage apps/devices
Multiple BI & analytic tools, cloud and mobile apps to track and use data
■ Increasing analytics processes
Increased analytics (self-service, big data, predictive) to gain competitive advantage
■ Business drivers for speed, agility, cost Faster time to market on new products and business models, compliance, M&A integration, cost efficiencies
© 2013 Denodo Technologies
Need consolidated view of the business entities to enable agile reporting, end users to discover /
browse data, and applications to reuse data services
Business Need
Customers
Agents Risk Factors
Products Claims
© 2013 Denodo Technologies
Real World
Multiple data silos (DB,
DW, Excel, Mainframes,
AS400, Big Data, NoSQL)
Multiple access needs (BI
tools, mobile, cloud apps)
Access to new data types
and external sources is hard
Data quality issues -
Redundant data, Direct back-
end updates, copies etc.
High legacy integration
and custom coding to
replicate data which is costly
and inflexible to changes
Agent Data (MS SQL Server)
Customer Data
(MySQL)
Claims System (Web Service -
Rest)
Auto location / smart grid data (Hadoop, NoSQL)
Ext. Information - D&B, Lexis Nexis
(Web data)
Product Data (CSV)
ERP (Sales, Contract) Data
(Cloud App.)
Pricing/Analytics (Web Application)
Legacy Data (Mainframe,
AS400)
© 2013 Denodo Technologies
Challenges
■ Data spread across heterogeneous data sources with different data formats
■ Canonical views must combine data from different sources
■ Data may need to be transformed and cleaned
■ Create the associations between the related entities
■ Ensure good performance
■ Need for rapid time to market, flexible to update / change
■ Minimize replication of data which is costly
■ Increase reuse of data (self-services, data services etc)
■ Integrated governance, security, data quality / master data
© 2013 Denodo Technologies
Data Virtualization
BASE VIEW
BASE VIEW
BASE VIEW
DERIVED VIEW
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)
Connect &
Virtualize
Combine &
Integrate
Publish as a Data Service
© 2013 Denodo Technologies
Data Virtualization Delivers New Capabilities
Data Virtualization
Logical abstraction &
decoupling
On-demand, real-time access to
disparate data
Semantic integration of
structured, Web,
unstructured
Agile Data services
Provisioning
(many formats, secure, reusable)
Unified data governance
© 2013 Denodo Technologies
Data Virtualization Platform Architecture
Da
ta C
on
su
me
rs
Enterprise Applications, ESB Reporting, BI, Portals Mobile, Web, Users D
ata
Vir
tuali
za
tio
n
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
Da
ta S
ou
rce
s
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
© 2013 Denodo Technologies
Data Virtualization Platform Architecture
Da
ta C
on
su
me
rs
Enterprise Applications, ESB Reporting, BI, Portals Mobile, Web, Users D
ata
Vir
tuali
za
tio
n
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
Da
ta S
ou
rce
s
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
© 2013 Denodo Technologies
Financial: Return on Data Assets (ROA) 3
IT / Structural: Single Unified Data Layer 2
Business: Speed, Flexibility, Cost 1
Why Data Virtualization?
Data Virtualization enables timely delivery of data and flexibility to change at lower cost than traditional integration
A unified virtual layer that abstracts underlying source complexity and presents disparate data as if from a single source
Multiply business value by increasing ‘shareability’ of a data resource across multiple data users and use cases
© 2013 Denodo Technologies
Data Virtualization Use Cases
© 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
Agile Business Intelligence
Agile Single View Applications
Big Data, Cloud Integration
Linked Data Services
Denodo Data Virtualization – Use Cases
• DS for Mobile Apps
© 2013 Denodo Technologies
Biogen Idec - Agile BI Real-time Sales Reporting Across 90 Countries
© 2013 Denodo Technologies
Biogen Idec Key Benefits and ROI fromData Virtualization
Biogen Idec executives now have access to new partner and public data sources that they could not leverage before : 60% faster with change requests met in just a few days with IT using 40% less analyst time to support.
Business Problem • Manual process • Data freshness and quality
concerns • Fragile and complex to change Business Benefits • Automated • Validated and trusted data • Self service enabled for changes • Available on-demand
IT Challenges • Diverse data sources • Structured and semi-structured data • Data structure complexity • Constantly changing sources and
data IT Benefits • Implementation - 4 weeks • Changes – 2,4 days • Low maintenance and support costs
Biogen Idec Example Executive report – Global Drug Sales (units) across all products
© 2013 Denodo Technologies
Operational BI – Unified Dashboards Data Services for Dashboards, Performance Management
© 2013 Denodo Technologies
Operational BI – Unified Dashboards Data Services for Dashboards, Performance Management
Incidences Summary
Classification Ranking
Configuration (CMDB) Changes
© 2013 Denodo Technologies
Presentation at Buckeye DAMA (pre-production phase): http://buckeyedama.org/events/past-presentations/
© 2013 Denodo Technologies
© 2013 Denodo Technologies
© 2013 Denodo Technologies
© 2013 Denodo Technologies
© 2013 Denodo Technologies I
© 2013 Denodo Technologies
Conformance to Industry Standard Models
ACORD Industry Models
XML Models imported as
Interface views
Interface Views (Virtual Models
without implementations)
Virtual business entities
Normalized base views of data
sources
Person Claims Policy Premium
Source data spread across multiple source systems
Person Claims Policy Premium
Data Virtualization
Data Virtualization allows easy adoption of industry standard models
• Top down
modeling to enforce contracts
• Creation of
logical data entities (data services)
• Agile development across multiple teams
© 2013 Denodo Technologies
Jazztel - Agile Customer Interaction Read / Write Data Services for Unified Agent Desktops, Customer Portals
Deliver Customer Information-as-a-Service to multiple front-ends Transform and combine into Virtual Data Views based on context and agent profile Access all data: 51+ sources back-end systems, partner, content and external web Support write-backs through DV / Data Services Platform or directly to Transaction systems 2500 contact center agents, High concurrency > 1 million transactions a day 25% cache hit rate, High-performance active –active cluster configuration
Use of Data Virtualization
Using Data Virtualization to enable Agile BI
Bhavna Kapoor
BI Architect, The Climate Corporation
February 2013
Case Study Presented at TDWI Conference in Las Vegas, NV. Download from: http://www.denodo.com/en/resources/documentation/case_studies/case_study_the_climate_corporation.pdf
ANALYSIS
- Aggregating/analyzing very large dynamic data sets (Platform)
- Modeling weather’s impact on crop yield (Agronomy)
- Simulating weather to assess risk, recommend coverage and price
policies (Climatology)
OUR CORE COMPETENCIES
SIMULATION
- 30 T simulation
values
- 34 TB of
simulations
saved in S3
- Unique
statistical
models
AGGREGATION - 1000s of
concurrent
instances
running map-
reduce clusters
- Unique agronomic
research
(machine
learning
- Daily weather
measurements for
over 500K
locations
- 712 unique
measurements
- 22 weather
datasets
ingested every 6
THE BI CHALLENGE
Data needed to answer key business questions is scattered across disparate systems in disparate forms
Data Integration
Traditional ETL / Data Warehouse Abstracted logical views of
enterprise data
Strengths
• High scale, batch oriented data
delivery
• Complex transformations
• Query performance
Challenges
• Multiple copies of the data
• Time-to-market
Strengths
• Unified, on-the-fly access to
heterogeneous data sources
• Push-down query optimization
• Intelligent caching
• Faster, agile development
Challenges
• High source resource utilization
• Limited transformation
FACTORS & CONSIDERATIONS
• Source data sets are constantly changing – different models, storage technology, formats
• Reporting requirements are fairly straightforward (aggregations, slicing-and-dicing) but requirements change frequently
• Avoid large scale data replication – huge overhead to build, keep in sync, storage costs
• Move towards RESTful web interfaces – data as a service
BI Platform Architecture
Impact
Data Virtualization
• First use-cases for Sales implemented
• 3X improvement in time-to-market with 1/3rd the team
• Other use-cases
• Risk reporting automation using Hive/Denodo
• Linked data services and BI Portal
• Operational Data Integration
© 2013 Denodo Technologies
• Recognized that its highest risk comes from dynamic areas of medicine with rapid advances in technology
• Used Data Virtualization to integrate unstructured big data sources with 25 years of claims history data and internal sources
• Leading Patient safety and medical malpractice insurance company serving a large university medical community since 1976 - - Over 10000 doctors, 18 hospitals and 238 other healthcare organizations.
Unstructured Intelligence for Clinical Quality
© 2013 Denodo Technologies
Virtualized Data Services Reduce Clinical Risk
EDW - Claims, Payments
Risk Management Applications
For Medical Malpractice Insurance
Risk Assessment &
Pricing
Physician Best Practices
Public Web - MHQP, MA Med board …
Claims Knowledge Base
Risk Models, Polices
© 2013 Denodo Technologies
Location Based Services Past, Present, Future
© 2013 Denodo Technologies
Navteq - Agile Location Based Services
Combine EDW, Cloud, data feeds and real-time social media
Batc
h Data Virtualization
Real-time Integration Web & Social Media
Batch
Real Time
Location Content Management System
Smart API – Core Widgets
User Data Store Service
Web, Devices | Users | Partners | App Builders
POIs
© 2013 Denodo Technologies
Agile Location Based Services - Combined View of Static and Dynamic Data
© 2013 Denodo Technologies
DV Vision = Unified Virtual Data Layer Enterprise Abstraction, Semantic Data Services, Agile Everything
Replicate
MDM/ Data warehouse
ETL
Propagate
SOA/ Service Registry
BPM/ESB
Collaborate
Portals, File Sharing
Emails, Social Platforms
Search
CMS Knowledge-db
Crawl, Index, Semantic Tool
Federate
Real-time Query Engine
Connectors
Agile BI &
Analytics
Agile Applications
People, Processes
Content Intelligence
Databases & Warehouses
Enterprise Applications
Cloud / SaaS Applications
XML, Excel, Flat Files
Big Data NoSQL
Collaboration Web 2.0
PDF, Docs, Index, Emails
More Structured Less Structured
Diverse Data Sources and Formats
Data Virtualization
Data Virtualization
© 2013 Denodo Technologies
Solve one/more projects
Prove value
Expand to other use
cases
Reusability and
scalability
Expand enterprise-
wide
Enterprise strategic
vision
Design for scale and support
Systemic data
services
High value use cases
first
Multiple usage
patterns
Tactical Approach
Enterprise-wide Approach
People Process Technology
Hybrid Approach Possible
Enterprise-wide Approach to Data Virtualization
© 2013 Denodo Technologies
Oppenheimer Funds – Enterprise Strategy For Turning Data Into Informaiton
Data Virtualization
Enterprise Dynamic Information Systems
RESTful Linked Data Services – all data assets represented as a resource …
easy to search, browse, query …
© 2013 Denodo Technologies
Data Virtualization at Oppenheimer
■ Access any source
■ Make them look homogeneous
■ Pre-integrated graph of information for users
■ Build very rapidly
© 2013 Denodo Technologies
Data Federation
DW Extension
Enterprise Data Sharing
Real-time Enterprise
Cloud Integration
Virtual MDM
MDM Registry
Data Virtualization Patterns
© 2013 Denodo Technologies
Data Virtualization Deployment Benefits & ROI
■ Easier to transform and combine disparate data sources • Unified, real-time access for consuming applications
■ Linkable, browsable data through RESTful access
■ Data is not copied, so reduces redundancy and is ‘timely’
■ Rapid provisioning of virtual data sources
■ Variety of delivery interfaces • JDBC/ODBC, REST/SOAP services, XML/JSON/HTML
■ Caching to improve performance
• Request-level, Fragment-level, View-level, etc.
■ Lots of DV patterns in use makes it a great utility asset
ROI: Denodo Data Services architecture enabled us to save thousands of programming hours in recent portal and application deployments.
© 2010 Cisco and/or its affiliates. All rights reserved. Cisco Confidential 79 Cisco Confidential Cisco Confidential © 2010 Cisco and/or its affiliates. All rights reserved. 79
Cisco Services Data Virtualization For Smart Services
Sanjeev Ukhalkar Senior Director, Cisco Services November 2012
80 80
Business
Analytics
Application/
Social
Analytics
Network/
Infrastructure
Analytics
Analytics focused on Business
Services Management, Cost
Optimization, Business Optimization,
Service Quality
Application/Server/Virtualization
related analytics that help optimize
various metrics like Performance,
Capacity Planning, Availability
Analytics around network, optimizes
networks for Performance, Capacity,
Fault, Availability, Risk, Compliance
Cisco Smart
Services Platform
• Node-based
architecture with
data aggregation,
virtualization sets
stage for predictive
analytics
• Analytics algorithms
leverage data from
multiple sources—
Big Data
• Virtualization,
dynamic
provisioning,
horizontal scaling
support delivering
business insight
Cisco Public 82 © 2011 Cisco and/or its affiliates. All rights reserved.
Cisco Public 84 © 2011 Cisco and/or its affiliates. All rights reserved.
85 85
Cisco Smart Services Platform
Enterprise Apps Reporting, Portals Mobile / Web
Professional
Services
Support
Services Operate
Services
Customer Support
(web services)
Cisco Network Inventory,
Contracts, Alerts
Service
Requests
Authorization Services
(web services)
Da
ta S
ou
rce
s
Cu
sto
me
rs,
Pa
rtn
ers
86 86
Cisco Smart Services Platform
Enterprise Apps Reporting, Portals Mobile / Web
Professional
Services
Support
Services Operate
Services
Customer Support
(web services)
Cisco Network Inventory,
Contracts, Alerts
Service
Requests
Authorization Services
(web services)
Da
ta S
ou
rce
s
Cu
sto
me
rs,
Pa
rtn
ers
• Difficult to flexibly combine disparate data sources – unforeseen needs to add new, emerging, less-structured data sources to traditional ones
• Need an abstraction layer-- data services / data asset strategy that lets analytics and UI layers focus on what they do best
• How to handle hybrid of persistent data + real-time, master data + transaction data
• Need dynamic partitioning and clusters to increase resource utilization, horizontal scalability
• Higher development costs
87 87
Cisco Smart Services Platform
Enterprise Apps Reporting, Portals Mobile / Web
Professional
Services
Support
Services Operate
Services
Customer Support
(web services)
Cisco Network Inventory,
Contracts, Alerts
Service
Requests
Authorization Services
(web services)
Da
ta S
ou
rce
s
Cu
sto
me
rs,
Pa
rtn
ers
Data Aggregation / Data Virtualization Layer
89 89
Cisco Smart Services Platform
Enterprise Apps Reporting, Portals Mobile / Web
Professional
Services
Support
Services Operate
Services
Customer Support
(web services)
Cisco Network Inventory,
Contracts, Alerts
Service
Requests
Authorization Services
(web services)
Da
ta S
ou
rce
s
Cu
sto
me
rs,
Pa
rtn
ers
Data Aggregation / Data Virtualization Layer
• Provides data integration, aggregation from all sources
• Delivers virtual data services
• Engineering costs reduced up to 25%
90 90
Data Virtualization drives: Integration, aggregation of data from multiple
sources—for virtual data services
Dynamic, horizontal scaling—to meet current and emerging market demands
Better performance, lower cost
© 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
Agile Business Intelligence
Agile Single View Applications
Big Data, Cloud Integration
Linked Data Services
Denodo Data Virtualization – Use Cases
• DS for Mobile Apps
© 2013 Denodo Technologies
Agenda
■ Data Challenges for Business and IT
■ Data Virtualization - Faster Access, Agile Provisioning
■ Industry Use Cases
• Analytical (Agile BI and Big Data Analytics, Logical DW, DW Prototype, etc)
• Operational (Single Customer View, Cloud Integration, Mobile Apps)
• Data Management (Data Services / IaaS, Unified Governance, Virtual MDM)
• Industry Specific Use Cases
■ BREAK: Data Virtualization Videos
■ LIVE DEMO: Data Virtualization / Linked Data Services
■ Summary - Business Impact & ROI
■ Q&A (At end of each session)
© 2013 Denodo Technologies
Key Takeaways
■ Data Virtualization is mainstream
• Many companies implementing Unified Virtual Data Layer to enable abstracted, decoupled, reusable data services
■ Costly and uneccesary replication can be avoided
• Data Virtualization allows data to remain in place and can reduce overall maintenance costs.
■ Development agility enhanced across data silos
• Building and publishing data services allows agile development and prototyping
■ Managing data access and quality is easier
• Data Virtualization is “unified source of reference” for discovering, managing, and auditing data access with fine-grained security / authorization to access data assets
© 2013 Denodo Technologies
Results You Can Expect from DV
Better Quality Information Focus on Business Information Needs Integrate Disparate Data Silos Include Web / Cloud, Big Data, Unstructured
Lower Cost & Agility Lower Integration Costs by 80% Flexibility to Change Real-time (on-demand) Data Services
Fast Time to Solution Projects in 4-6 Weeks ROI in <6 months Adds New IT and Business Capabilities
© 2013 Denodo Technologies
Denodo – Focused Leader in Data Virtualization
Forrester - Leader in Forrester WaveTM: Data Virtualization
Gartner - Cool Vendor in Data Integration
Bloor – Top 10 IT Companies to Watch
The Burton Group – Best of Breed Data Virtualization
InfoWorld - Best Mashup Server
Information Management - Top 40 List for 2011
BioIT World- Best of Show 2011-12
Broadest Support for Data Sources, Highest Performance, Most Flexible Delivery, Agile Linked Data Services, Increased ROA
© 2013 Denodo Technologies
Data Virtualization – More Resources
• White Papers: High Value Uses of Data Virtualization- Analytical, Operational, Data Management
http://go.denodo.com/datavirtualization_use_cases
• World Series on Data Virtualization - Numerous Case Studies in 3 Languages
http://www.denodo.com/en/resources/webcasts /dv_world_series_2011/index.php
• Expert’s Perspectives - Analyst and Expert Webinars
• Evaluation of Denodo Platform - Watch Online Demo - Pilot Evaluation Version - Partner Program
© 2013 Denodo Technologies
© 2013 Denodo Technologies
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