Watch full webinar here: https://bit.ly/3h2yLnb Presented at AWS Summit Online 2021 (ASEAN & ANZ) Is your organization challenged with modernizing analytics in the cloud, while driving smarter data integration capabilities? With a logical data warehouse powered by data virtualization, you can combine all of the data across the enterprise and make it available to analytical and visualization tools that facilitate timely, insightful, and impactful decisions. In this session, you will learn how data virtualization helps enterprises gain a unified view of the data across AWS, multi-cloud and hybrid cloud easily with a virtual data layer that abstracts business users from the technical details of where data resides.

1. Powering Real Time Analytics
with Data Virtualization
on AWS
Ravi Shankar
Senior VP & Chief Marketing Officer
rshankar@denodo.com

2. 2
Traditional Data Warehouse Architecture

3. 3
Data Warehouse: No longer “Single Source of the Truth”

4. 4
Gartner: Logical Data Warehouse – the Path to the Future

5. 5
Data Lakes and Warehouses are Complementary
“Only 17% of Hadoop deployments are in production”

6. 6
Gartner’s Practical Logical Data Warehouse Architecture
The Practical Logical Data Warehouse, Gartner
December 2020

7. 7
BI-Analytics and LDW top
the list with 66% and 43%
respectively!
Source: Denodo Cloud Survey, 2020
What are the Key Cloud Initiatives in your Organization?

8. A Customer Use Case

9. 9
2014: Business Model Transformation at
Leader in 3D Design, Engineering, and Entertainment Software
Business Need
Transition to subscription-based
licensing
On-board new systems with legacy
systems
Evolve to a modern BI 2.0
architecture

10. 10
Logical Data Warehouse Architecture

11. 11
Logical Data Warehouse Architecture

12. 12
Logical Data Warehouse Architecture

13. 13
Logical Data Warehouse Architecture

14. What is Data Virtualization?

15. 15
Data Virtualization: Unified Data Integration and Delivery
• Data Abstraction: decoupling
applications/data usage from data
sources
• Data Integration without replication
or relocation of physical data
• Easy Access to Any Data, high
performant and real-time/ right-
time
• Data Catalog for self-service data
services and easy discovery
• Unified metadata, security &
governance across all data assets
• Data Delivery in any format with
intelligent query optimization that
leverages new and existing
physical data platforms
A logical data layer – a “data fabric” – that provides high-performant, real-time, and secure access to
integrated business views of disparate data across the enterprise

16. 16
Gartner Data Management Hype Cycle – DV and LDW
“Data
Virtualization and
Logical Data
Warehouse both
are in the Plateau
of Productivity” -
Signifies very low
risk and high-level
ROI from
investments in
these DM tools and
architectures

17. 17
Source: Gartner Data Virtualization Market Guide, Dec 2018
Through 2022, 60% of all organizations will implement data
virtualization as one key delivery style in their data integration
architecture”

18. 18
“Data Virtualization” is the 3rd Most Used Technology within an Organization
Which Information Tech is Your Organisation Currently Using?

19. How Data Virtualization
Works?

20. 20
Data Virtualization Logical Architecture
DATA CATALOG
Discover - Explore - Document
DATA AS A SERVICE
RESTful / OData
GraphQL / GeoJSON
BI Tools Data Science Tools
SQL
CONSUMERS
DATA VIRTUALIZATION
CONNECT
to disparate data
in any location, format
or latency
COMBINE
related data into views
with universal semantic
model
CONSUME
using BI & data science
tools, data catalog,
and APIs
Self-Service
Hybrid/
Multi-Cloud
Data
Governance
Query
Optimization
AI//ML
Recommendations
Security
LOGICAL
DATA
FABRIC
SOURCES
Traditional
DB & DW
150+
data
adapters
Cloud
Stores
Hadoop
& NoSQL
OLAP Files Apps Streaming SaaS
1
2
3
4
5
6
7
8
9 10
11

21. 21
Big Data Queries Faster with Denodo Platform
Performance comparison of 5 different queries
1. Data Virtualization delivers better performance without need to replicate data into Hadoop.
2. Data Virtualization leverages Data Source Architectures for what they are good at.
Impala Hadoop-
only Runtime (s)
Denodo Runtime
w/ Query Opt (s)
Denodo Runtime
w/ Cache (s)
Data Volumes
Query 1 199 120 68 Queries 1,2,3,5
•Exadata Row
Count: ~5M
•Impala Row
Count: ~500k
Query 4
•Exadata Row
Count: ~5M
•Impala Row
Count: ~2M
Query 2 187 96 88
Query 3 120 212 115
Query 4 timeout 328 69
Query 5 46 91 56

22. 22
Cloud Logical Data Warehouse: Multi-location Architecture
Amazon RDS,
Aurora
US East
Availability
Zone
EMEA
Availability
Zone
On-prem
data center

23. Who uses Data Virtualization?

24. 24
The Leader in Data Virtualization
Denodo
DENODO OFFICES and EMPLOYEES
• 24 offices across 18 countries
• New offices in 2019 – Canada, Mexico, China
• New offices in 2020 – UAE, Saudi, Brazil,
Russia
• 30% growth in employees in 2019
LEADERSHIP
Longest continuous focus on data virtualization since
1999
Leader – Gartner Data Integration MQ 2020
Leader in Forrester 2020 Wave – Ent. Data Fabric
Leader in Forrester 2017 Wave – Data Virtualization
Customers’ Choice in 2021 Gartner Peer Insights “Voice of
the Customer”: Data Integration Tools
Winner of numerous awards
CUSTOMERS and PARTNERS
• 800+ customers; 100+ new in 2019
• 250+ active and engaged partners
FINANCIALS
• Backed by $4B+ private equity firm; $0 debt
• 50 – 60+% annual growth; Profitable.

25. Thanks!
www.denodo.com info@denodo.com
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