This document discusses data virtualization as a solution to challenges organizations face with data integration and accessibility. It summarizes the key benefits of data virtualization, including providing a single logical view of distributed data sources, reducing costs and time to access data, and improving data governance. The document also highlights findings from surveys that most organizations have significant amounts of data they cannot access or analyze due to data silos and complexity. It positions data virtualization and logical data fabrics as foundations for modern data architectures that can address these challenges.

1. DATA VIRTUALIZATION
Packed Lunch Webinar Series
Sessions Covering Key Data Integration
Challenges Solved with Data Virtualization

2. Cloud Migration Strategies that Ensure
Greater Value for the Business
Kevin Bohan
Director of Product
Marketing, Denodo
Rex Washburn
Head of Modern Data
Platforms, Sirius

3. 3
Data Is Being Underutilized
62% of respondents indicated they could not find, access, and analyze over half of their data.
Source: 2022 Denodo Global Cloud Survey

4. 4
Contributing factors
DATA SILOS
Make it hard to find and access the data you need
DATA TEAMS STRETCHED THIN
Business users struggle to find the data they need, as a result data
teams left address all data requests
THE COMPLEXITY OF DATA INTEGRATION
Traditional data integration is labor intensive resulting in long delays
when the business needs access to new data sources
DISTRIBUTED NATURE OF DATA GOVERNANCE
Decentralized data governance is time-consuming and becomes more
complex when data is shared between data domains

5. 5
Cloud-based data warehouses, data lakes, and lake
houses were cited as a top initiative by 48.2% of
respondents and a leading use case by 57.3%
Source: 2022 Denodo Global Cloud Survey

6. 6
Why are these solutions so popular?
1. Dynamic scaling to meet demand
• Separation of computing and storage
2. Support for semi-structured data in addition to
structured data
3. Powerful query capabilities
4. Support for advanced analytics and ML

7. 7
The reality is, it is not easy to ensure all your data is in these systems
However, they require all data to being in their systems

8. 8
- Gartner Critical Capabilities for Data Integration Tools, August 2022
When data is constantly produced in massive quantities and is
always in motion and constantly changing (e.g., IoT platforms and
data lakes), attempts to collect all this data are neither practical nor
viable. This is driving an increase in demand for connection to
data, not just the collection of it (Data Virtualization).”

9. 9
ONE logical data access layer for ALL your data
Logically Integrate, Manage, and Deliver Distributed Data
ANY DATA
SOURCE
ANY DATA
CONSUMER
ANY PLATFORM ENVIRONMENT
On-Premises | Cloud | Multi-Cloud | Containerized
Data
Governance
Tools
BI Dashboard
Report and Tools
Data Science &
Machine Learning
Apps
Mobile &
Enterprise Apps
Microservices
Apps
DB, DW &
Data Lakes
Files
Cloud DB
& SaaS
Streaming
Data & IoT
Cube
Smart Query
Acceleration
AI/ML Recommendations
& Automation
Advanced Semantics
& Active Data
Catalog
Unified Security &
Governance
Logical Data
Abstraction
Real-Time Data
Integration

10. 10
– Gartner: Assessing the Relevance of Data Virtualization in Modern Data Architectures, June 2021
“Data virtualization capabilities offer an access and delivery layer
that can serve as the foundation for the logical data fabric, which
offers significant automation functions in the data management
space. These include automation of data recommendations, data
quality, data governance and policy, on top of the core integration
functions of data virtualization.

11. 11
Data Fabric
Enables integrating and delivering data easier and more optimal in terms of performance, the effort
required, accuracy, and cost.
Six components of a Data Fabric:
1. Augmented data catalog
2. Semantic layer to define relationships between
multiple entities
3. Metadata activation
4. Recommendation engine
5. Data preparation and data delivery
6. Orchestration and DataOps

12. The foundation for the logical data fabric: Data Virtualization

14. 14
Positive Business Outcomes
SMART DATA DISCOVERY
Data Catalog enables everyone to find and use business-friendly views of
the data they need to make more informed decisions
FASTER TIME-TO-REVENUE
Self-service data frees the data teams to focus on the provisioning and
managing of the organization’s data, not satisfying ad-hoc requests
IMPROVED SECURITY AND DATA GOVERNANCE
Decouple data security policy from the underlying data repositories and
enforce access controls from the centralized data access layer.
REDUCED OPERATION COSTS
Simplifying data access and controls has tremendous cost savings
83% reduction
in time-to-revenue
67% reduction
in data preparation effort
65% decrease
in delivery times over ETL
Source: Forrester Total Economic ImpactTM of Data
Virtualization, 2021

15. 15
Forrester Total Economic ImpactTM of Data Virtualization Using the Denodo Platform, October 1, 2021
Total Economic Impact of Data Virtualization
Forrester has determined the following
three-year impact:
© Forrester Research, Inc. All rights reserved.
ROI
408%
BENEFITS
$6.8M
PAYBACK
<6 months
“Denodo is best fit for customers that are
focusing on an enterprisewide data fabric
strategy to support BI, data collaboration,
customer intelligence, data engineering,
data science, IoT analytics, operational
insights, and predictive analytics use
cases..."

16. Fireside Chat:
Cloud Migration Strategies that Ensure
Greater Value for the Business
Kevin Bohan
Director of Product
Marketing, Denodo
Rex Washburn
Head of Modern Data
Platforms, Sirius

17. SIRIUS / CDW DATA
PRACTICE OVERVIEW
Through our solution-focused and comprehensive approach to data
consulting, we are the people that get IT!
As independent advisors with transparent recommendations, our
experts work across industries to deliver tailored solutions to solve
real problems. Working together, we take measured steps to
realize business value as we solve the puzzle of data.
Data Management
Data Science & AI
Data Visualization &
Reporting
Modern Data Platforms
Data Governance
Strategy
DATA FOCUS AREAS
100+
professionals
focused on data
solutions
delivered
1000s
of professional
certifications
50+
Cloud Data
Specialists
1000+ 3200+
OUR TEAM
OUR REPUTATION
$350M
in data solutions
and services
Vendor
partnerships
#1
Ranked across
our top
Partners
72
industry-leading
NPS Score
400+
OUR PROJECTS

18. Q&A

19. Forrester Study: The Total
Economic Impact™ of Data
Virtualization
Using The Denodo Platform
https://www.denodo.com/ForresterTEI
Download TEI Study:

20. SIRIUS AND DENODO:
Enabling a Modern Data
Infrastructure with Support for
Self-Service Analytics
https://www.denodo.com/en/document/solution-
brief/partner-solution-brief-sirius-and-denodo
Download the solution brief:

21. 21
Next Steps
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Logical Data Fabric
A Technical Whitepaper
DOWNLOAD WHITEPAPER

22. Thanks!
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