Denodo 7 is a data virtualization platform that enhances data management practices with new features like advanced performance optimization, cloud integration, and integrated data discovery. The platform enables rapid data delivery and supports diverse applications while reducing costs and time to market. It positions Denodo as a leader in the data virtualization market with a focus on seamless hybrid cloud integration and advanced data governance capabilities.

1. Denodo
Data Virtualization
Take your Data Management Practice to
the Next Level with Denodo 7
Alberto Pan, CTO
May 2018

2. Agenda1. Denodo Vision and Architecture
2. Denodo in the Market
3. What’s New in Denodo 7 ?
• Performance
• Cloud Integration
• Data Discovery
4. Q & A

3. Denodo 7: Vision and Architecture

4. 4
Unified Data Integration and Delivery Platform for the Business
4. Access with any tool / protocol –
Data service / API Layer
5. Centralized metadata, security &
governance
6. 90% time to market reductions and
cost savings
1. Single access point to data – Digital
Marketplace
2. Data in business friendly form –
Semantic Layer
3. Data adapted for the needs of each
LOB, type of user and application

5. 5
Denodo Data Virtualization: Virtual Views
C_Code_Text C_OpenOppAmount Code_Cust_CHAR Total_Orders_Dollars
C_Code_Text C_OpenOppAmount Total_Orders_DollarsCustomer Code Open Opportunities
Amount ($)
Past Orders Amount ($)Customer Code Open Opportunities
Amount (€)
Past Orders
Amount(€)
Total Amount (€)
Total amount of open
opportunities and orders (in
euros)
Total amount of open
opportunities (in euros) as
documented in SaaS CRM

6. 6
A Modern Data Virtualization Architecture
DATA CONSUMERS
DISPARATE DATA SOURCES
SQL Queries
(JDBC, ODBC, ADO.NET)
Web Services
(SOAP, REST, OData)
Web-based catalog
& search
Secure delivery
(SSL/TLS)
DATA CONSUMERS
MPP Processing
Relational Cache
Corporate Security
Monitoring & Auditing
Metadata
Repository
Execution Engine
& Optimizer
DATA VIRTUALIZATION

7. 7
The Enterprise Data Layer for Big Data and Analytics
Reference Architecture

8. 8
The Enterprise Data Layer for Operational and Transactional
Reference Architecture

9. Denodo: Market Positioning

10. 10
Gartner Gives DV its Highest Maturity Rating
10
“Data
Virtualization
can be deployed
with low risk
and effort to
achieve
maximum
value.”

11. 11
Source: “Predicts 2017: Data Distribution and Complexity Drive Information
Infrastructure Modernization” Gartner
By 2018, organizations with Data virtualization capabilities will
spend 40% less on building and managing (ETL & ESB) data
integration processes for connecting distributed data assets.”

12. 12
Faster Time to Market – Biggest Value
Value Driver Metric Goal Actual
Time to Develop Time to develop web service in days 50% 90%
Time to Deploy Time to Deploy web service in days 50% 90%
TTM
Overall time it takes to make web service
available for use
60% 90%
Time to Engage
Time it takes for business to engage with
IT
75% 75%
Performance Performance of web services 50% 60%
Impact Analysis How fast can we perform impact analysis 50% 90%
Enterprise Architectural
Alignment
Ease at which data from disparate
sources can be integrated
Security, data
classification
High

13. 13
Denodo High Customer Ratings

14. 14
DV Fast Enterprise Deployments < 3 Months

15. Denodo 7: What’s New

16. 16
New Release of Denodo Platform Redefines Data Management for Mission-critical Enterprise Use Cases.
Reimagine Data Management with Denodo Platform 7.0
Unparalleled Performance
Combined power of Massive Parallel
Processing & Dynamic Query Optimization
for immediate data delivery in big data,
cloud, and real-time scenarios.
Cloud Integration
Multi-location architecture for multi-
cloud, hybrid, and edge scenarios
without sacrificing performance and
governance
Integrated Data Discovery
The Only Data Virtualization offering
that tightly integrates Data Catalog and
Data Delivery for contextual information
delivery and collective intelligence.

17. 17
Denodo Data Virtualization: Advanced Optimization
Minimizes data movement and maximizes
local processing at the origin systems
Leverages in-memory MPP Processing at
the DV layer
Multiple caching options: partial, full,
incremental, …
Optimize distributed queries across large repositories
The Denodo Platform ... incorporates dynamic query
optimization as a key value point…specifically for high data
volume and complexity;”
Gartnet Magic Quadrant for Data Integration, 2017

18. 18
Query Optimization: Classical Federation
Naive Strategy (BI Tools, BDI Tools, Simple
federation engines):
join
union
group by
Customers (3M)
Sales previous years
(3B)Sales this year (290M)
290M rows
300M rows
(sales previous
year)
3M rows 593M rows through the
network
Obtain Total Sales By Customer Country in the Last Two Years

19. 19
Query Optimization: Dynamic Optimizer
Denodo Strategy
join
union
group by
Customers (3M)
Sales previous years
(3B)Sales this year (290M)
3M rows (sales by
customer this year)
3M rows (sales by
customer previous
year)
3M rows 9 M rows through the
network
Obtain Total Sales By Customer Country in the Last Two Years
group by
customer
group by
customer

20. 20
Dynamic Optimizer + MPP Processing (Denodo 7)
union
group by
3M rows
(sales by customer
this year)
3M rows
(sales by
customer
previous year)
3M rows
(customers)
Aggregation
pushdowngroup by
customer
group by
customer
join
Integrated
MPP processing
System Execution Time Optimization Technique
No Rewriting >10 min None
Denodo 6 51 sec Aggregation push-down
Denodo 7 13 sec
Aggregation push-down + MPP
integration

21. 21
merge
Caching
Denodo can persist partial or total copies of datasets from
the data sources and combine them with real-time access:
• Denodo can use all major databases as caching systems,
including major parallel databases and BigData systems (New
in Denodo 7: Hive, Impala, Spark, Presto)
• Optimize performance, reuse complex transformations and
protect data sources from expensive queries
Full flexibility for data replication:
• Cache only some datasets or part of some datasets
• E.g. most recent queries, most frequent data
• Multiple automatic refresh options (e.g. incremental)
join
group by ID
Group by
state
SELECT c.state, AVG(s.amount)
FROM
customer c JOIN sales s
ON c.id = s.customer_id
GROUP BY c.state
Sales Customer
Customer changed /
added since 1:00AM
CACHE
Customers
updated at
1:00AM

22. 22
New Release of Denodo Platform Redefines Data Management for Mission-critical Enterprise Use Cases.
Reimagine Data Management with Denodo Platform 7.0
Unparalleled Performance
Combined power of Massive Parallel
Processing & Dynamic Query Optimization
for immediate data delivery in big data,
cloud, and real-time scenarios.
Cloud Integration
Multi-location architecture for multi-
cloud, hybrid, and edge scenarios
without sacrificing performance and
governance
Integrated Data Discovery
The Only Data Virtualization offering
that tightly integrates Data Catalog and
Data Delivery for contextual information
delivery and collective intelligence.

23. 23
Hybrid Information Architectures: The Integration Problem
Cloud Integration: The Problem
 Data sources at multiple locations: on-prem local, hierarchically distributed (e.g. Edge), in
one or several cloud providers,…
 Integration Problem is even more difficult:
 Performance
 Centralized Management of Security and Governance
 Impact of transition to the Cloud in existing applications
 …
 Data replication problems are aggravated in these scenarios
 Data Virtualization is specifically designed to provide location transparency, minimizing
data replication
23

24. 24
Denodo 7: Multi-Location Architecture
 A Denodo deployment at each location (e.g.
on.prem, cloud providers).
 Every Denodo Server can use as “data
sources” the Denodo Servers at other
locations
 Denodo Servers are close to the data sources:
 Performance: minimize network trafficking,
maximize local processing
 Avoids opening firewall ports for data sources
 Deploy to any location with Denodo 7
Solution Manager

25. 25
Denodo Solution Manager: Manage Multiple Locations
Administration and
Development Client
On-Prem 1
Load Balancer
Cloud Provider 1 Cloud Provider 2
Integrated
Version
Control
MS TFSSubversion git
Solution Manager
Centralized deployment from a web console to
multiple environments / locations:
 Definitions of data sources, views, exposed APIs,…
 Security Policies
 Workload Management
 Catalog, Data Lineage, Dependencies,…
 Version Control
 …
VCS for
Migrations
history
DB for Environment
Dependent properties

26. 26
Cloud and On-Prem Integration

27. 27
New Release of Denodo Platform Redefines Data Management for Mission-critical Enterprise Use Cases.
Reimagine Data Management with Denodo Platform 7.0
Unparalleled Performance
Combined power of Massive Parallel
Processing & Dynamic Query Optimization
for immediate data delivery in big data,
cloud, and real-time scenarios.
Cloud Integration
Multi-location architecture for multi-
cloud, hybrid, and edge scenarios
without sacrificing performance and
governance
Integrated Data Discovery
The Only Data Virtualization offering
that tightly integrates Data Catalog and
Data Delivery for contextual information
delivery and collective intelligence.

28. 28
A “Data Marketplace” for the Business
Denodo provides a unified data integration and delivery
layer for the business
Multiple virtual datasets that can be useful for multiple
users and purposes
Data Catalog: help business users and developers find and
understand the datasets available in Denodo
Secure “Data Marketplace” of virtual datasets available to
solve a particular information need
Data Discovery Infrastructure on Top of the Denodo Layer

29. 29
The Role of the Data Catalog
Catalog of views and web services
 See descriptions, relationships and data lineage
 Classify existing views and services using business categories, tags,..
 Browse and search capabilities using multiple criteria
 See information about the dataset usage

30. 30
Denodo Data Catalog 7.0

31. 31
Denodo Data Catalog: Tagging

32. 32
Denodo Data Catalog: Data Lineage

33. 33
The Role of the Data Catalog
Catalog of views and web services
 Classify existing views and services using business categories, tags,..
 Browse and search capabilities using multiple criteria
 See descriptions, relationships and data lineage
 See information about the dataset usage
Preview and find data
 Quick look at data
 Search based on content

34. 34
Denodo Data Catalog: Content Search

35. 35
The Role of the Data Catalog
Catalog of views and web services
 Classify existing views and services using business categories, tags,..
 Browse and search capabilities using multiple criteria
 See descriptions, relationships and data lineage
 See information about the dataset usage
Preview and find data
 Quick look at data
 Search based on content
Consume
 Obtain connection details to consume data with your favourite tool
 Customize existing views with visual transformation wizards
 “My queries” for personal use & share with other users
 Propose new standard business / canonical views

36. 36
Denodo Data Catalog: Get Access

37. 37
Key Takeaways
Denodo is the leading DV vendor, bridging the gap between the complex and changing
IT data infrastructure and Business Users and Applications
 Integrates and exposes data to the business much faster and at a fraction of the
cost of other approaches
Denodo 7 takes Denodo to new levels:
 Best performance by combining advanced techniques to minimize network traffic,
MPP processing and caching
 Enables seamless hybryd cloud-onprem integration, and facilitates cloud migrations
 Advanced data discovery and catalog functionalities

38. 38
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EXPRESS
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Next Steps
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30 day free trial available!

39. Q&A

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