The document outlines a webinar series focused on data virtualization, exploring key challenges in data integration and solutions for creating a real-time, agile data platform. It highlights the benefits of data virtualization, including reducing time to market and improving decision-making processes, supported by a case study of a semiconductor firm. The series includes additional sessions on various topics like big data fabric and self-service analytics, aimed at enhancing understanding and implementation of data virtualization strategies.

1. DATA VIRTUALIZATION PACKED LUNCH
WEBINAR SERIES
Sessions Covering Key Data Integration Challenges
Solved with Data Virtualization

2. Data Virtualization: An Introduction
Paul Moxon
VP Data Architectures & Chief Evangelist, Denodo

3. Agenda
1. Data Virtualization: An Introduction
2. Denodo’s ‘Packed Lunch’ Webinar Series
3. Q&A
4. Next Steps
3

4. Data Virtualization: An Introduction
4

5. Data Integration – “The Way We Were…”
5
Operational
Data Stores
Staging Area Data Warehouse Data Marts Analytics and
Reporting
ETLETLETL

6. Data Integration – A Modern Data Ecosystem
6

7. The Data Integration Challenge
7
Manually access different
systems
IT responds with point-to-
point data integration
Takes too long to get
answers to business users
MarketingSales ExecutiveSupport
Database
Apps
Warehouse Cloud
Big Data
Documents AppsNo SQL
“Data bottlenecks create business bottlenecks.”
– Create a Road Map For A Real-time, Agile, Self-Service Data
Platform, Forrester Research, Dec 16, 2015

8. The Solution – A Data Abstraction Layer
8
Abstracts access to
disparate data sources
Acts as a single repository
(virtual)
Makes data available in
real-time to consumers
DATA ABSTRACTION LAYER
“Enterprise architects must revise their data
architecture to meet the demand for fast data.”
– Create a Road Map For A Real-time, Agile, Self-Service Data
Platform, Forrester Research, Dec 16, 2015

9. Data Virtualization
9
“Data virtualization integrates disparate data sources in real time or near-real time
to meet demands for analytics and transactional data.”
– Create a Road Map For A Real-time, Agile, Self-Service Data Platform, Forrester Research, Dec 16, 2015
Publishes
the data to applications
Combines
related data into views
Connects
to disparate data sources
2
3
1

10. Data Virtualization Reference Architecture
10

11. Confluence of Ecosystems
11

12. Common Data Virtualization Use Cases
12

13. − Gartner, Predicts 2017: Data Distribution and Complexity Drive Information Infrastructure
Modernization, Ted Friedman et al.
By 2018, organizations with data virtualization capabilities
will spend 40% less on building and managing data
integration processes for connecting distributed data assets.
13

14. Case Study
14
Leading Semiconductor Firm Accelerates Product Time To Market
Positive Revenue Impact Worth $Millions
• Lose $1B for every month
delay in product release
• Month lost incrementally
(minutes here, days there) by
users looking for the right
information to make accurate
decisions
• Eliminate ETL for operational
purposes and use DV to get
all data in real time from
original sources to accelerate
accurate decision making.
• Still store historical data in DW
but store much less
• Cut Time to Market
(TTM) of delivering
data to business by
90%
• Reduced product
TTM by days
generating $M’s in
more revenue.
HQ in Santa Clara, California, is the world’s largest semi-conductor manufacturing firm,
In 2015, the company reported a revenue of $55 billion with its 107,000 employees.
Problem Solution Results

15. Denodo’s Packed Lunch
Webinar Series
A look at what’s coming soon…
15

16. Webinar #2 – Big Data Fabric
16

17. Webinar #3 – Complete View of Customer
17

18. Webinar #4 – Centralized Security and Governance
18

19. Webinar #5 – Self-Service Analytics
19

20. Webinar #6 – Data as a Service
20

21. And Even More…
Many more topics in more webinars within the ‘Packed Lunch’ series:
• Hybrid architectures with Cloud and On premise data
• Migrating to the Cloud without disrupting the business
• In-memory data grids with Data Virtualization for real-time
analytics
• Accessing ‘Open Data’ from Government web sites
• etc.
21

22. Q&A

23. Next steps
Download Denodo Express:
www.denodoexpress.com
Access Denodo Platform on AWS:
www.denodo.com/en/denodo-platform/denodo-
platform-for-aws

24. Next session
Big Data Fabric: A Recipe for Big Data
Initiatives
Thursday, February 16, 2017
Paul Moxon
VP Data Architectures & Chief Evangelist, Denodo
Chris Walters
Senior Data Solutions Consultant, Denodo