Watch full webinar here: https://bit.ly/3FHKalT Given the growing demand for analytics and the need for organizations to advance beyond dashboards to self-service analytics and more sophisticated algorithms like machine learning (ML), enterprises are moving towards a unified environment for data and analytics. What is the best approach to accomplish this unification? In TDWI’s recent Best Practice Report, Unified Platforms for Modern Analytics, written by Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics, adoption, use, challenges, architectures, and best practices for unified platforms for modern analytics is explored. One of the approaches for unification outlined in the report is a data fabric approach. Join us for a webinar with our Director of Product Marketing, Robin Tandon, where he will discuss the role of the logical data fabric in a unified platform for modern analytics, focusing on several of the key findings outlined in this report. He will share insights and use case examples that demonstrate how a properly implemented logical data fabric is the most suitable approach for Unified Data Platforms across enterprises and organizations. Watch on-demand & Learn: - The benefits of a unified platform and its ability to capture diverse & emerging data types and how to support high performance and scalable solutions. - The role of an enhanced AI driven data catalog and its implications towards the findings in the best practice report. - Implications of a logical data fabric as it relates to several of the recommendations outlined in the report.

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

2. The Role of the Logical Data Fabric in a
Unified Platform for Modern Analytics
Robin Tandon
Product Marketing
Director | Denodo
Chris Walters
Senior Solutions
Consultant | Denodo

3. Agenda
1. What is a Unified Platform for Modern Analytics ?
2. Why is a Unified Platform Important ?
3. Characteristics of the Unified Platform for Modern Analytics
4. Barriers to Unification
5. How Denodo supports the journey to a Unified Platform ?
6. Product Demonstration
7. Conclusions

4. 4
What is a Unified Platform for Modern
Analytics ?
TDWI BEST PRACTICES REPORT Q3 2021 Unified Platforms for Modern Analytics by Fern
Halper Ph.D.

5. 5
Why is a Unified Platform Important ?
Footnotes
5

6. 6
Characteristics of the Unified Platform
for Modern Analytics
Logical
Data
Fabric

7. 7
Why should we Unify ?
Footnotes

8. 8
Barriers to Unification

9. How Denodo Supports the Journey
to a Unified Platform

10. 10
How Denodo Supports a Unified Platform for Analytics

11. 11
Logical Data Fabric
Logical Data Fabric
Consumers
Data
Science
Machine
Learning
Artificial
Intelligence
Mobile
Applications
Predictive
Analytics
Business
Intelligence
Relational NoSQL Unstructured Docs Cloud Sensors IoT
Sources
Unified Data Security
Abstraction Layer
Universal Access
Self-Service
Data Catalog

12. 12
Denodo Platform 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

13. 13
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 “logical data fabric” – that provides high-performant, real-time, and secure
access to integrated business views of disparate data across the enterprise

14. 14
Denodo Data Catalog
Data Catalog within Data Virtualization to seamlessly integrate data catalog and data delivery
Dynamic Catalog of curated, timely, contextual, and reusable
information assets and data services.
Govern – Fine-grained privilege that governs access to the catalog;
both metadata and information assets.
Describe – Ability to describe data assets with categorization, tagging,
annotations, lineage and other business-oriented metadata.
Usage-based metadata – who, when, what, why, and how of data
consumption.
Lightweight Data Preparation – Ability to transform, refine, and
customize data assets for business use.
Enhanced UI – Business-friendly user interface geared to roles such as
data stewards, data analysts, and citizen analysts

15. 15
Intelligent Data Discovery
• This feature provides
recommendations for datasets
based on user profile and usage
history
• Integrated in the home screen of
the Data Catalog
• Similar approach to e-commerce
or streaming platforms for
content discovery

16. 16
AI Based Automation
▪ Query: Smart Autocomplete
▪ Augment keyword-based autocomplete with
frequently used SQL fragments
▪ Development: Suggest Joins and Transformations:
▪ Automatic suggestion of common combinations and
transformations, based on past activity of similar
users
▪ Discovery: Automatically inferring relationships
▪ Use both metadata analysis and historical usage (e.g.
JOIN conditions)

17. Product Demonstration
17
Chris Walters
Sr. Solutions Consultant

18. Demo Scenario
Use Case
• Integrate data from 3 disparate sources
to determine the impact of a new
marketing campaign on total sales in
each country in which they do business.
Data Sources
▪ Historical sales data stored in data lake
▪ Marketing campaigns managed in an
external cloud app
▪ Customer data stored in the EDW
Sources
Combine,
Transform
&
Integrate
Consume
Base View
Source
Abstraction
Sales Campaign Customer
Sales Evolution

19. 19
Demo

20. 20
Total Economic Impact of Data Virtualization
“Denodo is the right tool for
collaborative, flexible work
and giving the business more
room to create flexible
applications for the future.
It’s proved so until today.”
Forrester has
determined
the following
three-year
impact:
— IT Manager, Manufacturing
ROI
408%
BENEFITS
$6.8M
PAYBACK
<6 months

21. 21
408%
Return on Investment (ROI)
<6 months
Payback
Financial summary
Three-year risk-adjusted results
$6.8M
Total Benefits (PV)
($1,000,000)
$0
$1,000,000
$2,000,000
$3,000,000
$4,000,000
$5,000,000
$6,000,000
$7,000,000
$8,000,000
Initial Year 1 Year 2 Year 3
Cash
flows
Financial Analysis (risk-adjusted)
Total costs Total benefits Cumulative total benefits PV

22. Conclusions

23. 23
Conclusions
• In a complex ever evolving world a logical data fabric provides an agile
approach to data management – and provides a vendor agnostic
platform allowing you to connect to any data source and any data
analytics tool
• A logical data fabric helps eliminate shadow IT and data silos by
providing the unification layer. Reducing the strain on IT
• A logical data fabric encourages stronger data governance
• .. And provides a business friendly democratized interface for data
analysts to explore and enquire on the data.

24. Q&A

25. 25
www.denodo.com/TDWIUnified
Read the report

26. 26
Get Started Today
Try Denodo with the 30-day free trial in
the cloud marketplaces
CHOICE
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SUPPORT
Community forum AND remote sales
engineer
OPPORTUNITY
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denodo.com/free-trials

27. Thanks!
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