The webinar discusses data virtualization and its role in fulfilling digital transformation needs in banking. Key topics include the evolution of data management, modern data architecture trends like multi-cloud, virtual data fabric, and data mesh, as well as the importance of real-time analytics and data integration. The session aims to provide insights into maximizing data monetization and enhancing ROI through innovative data strategies.

1. WEBINAR
Data Virtualization: Fulfilling
The Digital Transformation
Requirement In Banking
24 February 2021, 3PM GST, 11 AM GMT
www.edgematics.ai
Alexey Sidorov
Data Management
Director and Chief
Evangelist Middle East
Denodo
Raheel Khan
Vice President
Sales & Strategy
EMEA
Edgematics
Presented by

2. 2
In this webinar session, we will cover:
Agenda
1. Introduction to Edgematics
2. Introduction to Denodo & Data Virtualization
3. Evolution of Data Management
4. 3 Trends in Modern Data Architecture
4. Virtual Data Fabric
5. Data Mesh
6. Multi-Cloud
7. Demo
8. Closing Remarks & Key Takeaway

3. All-In-Data Monetize Data Maximize ROI

4. 4
Your Trusted Data
Monetization Partner
Niche & Focused All-In-Data Company
100+
Satisfied Clients
100+
Combined Years of
Industry Experience
25+
Products &
Frameworks
Our Experience
Our Partners
- Data Strategy
- Data Governance
- Data Architecture
- Data Science
- Data Program Management
- Data Analytics as a Service Platform
What We Do
Retail Telecom Banking Government Healthcare Automotive Utilities

5. Our Customers
Telecommunications
Retail, Distribution &
Manufacturing
Government
& Ministries
Banking, Finance
& Insurance
All other verticals

6. Fulfilling The Digital
Transformation
Requirement In Banking
• Alexey Sidorov PhD
• Data Management Director, Chief Evangelist

7. 7
• Albert Einstein
• We cannot solve our
• problems with the same
• thinking we used when
• we created them

8. 8
Evolution of Data Management

9. 9
Data Warehouse Data Lake
Invented in 1992 Invented in 2008

10. 10
• Martin Fowler, Chief Scientist ThoughtWorks
• We are gearing up for a shift to polyglot persistence
- where any decent sized enterprise will have a variety
of different data storage technologies for different
kinds of data.

11. 11
Businesses increasingly demand
capabilities that enable them to
achieve digital transformation
through faster integration, real-time
analytics, and better data discovery
process

12. 12
While IT keeps trying to get all data
to a single repository, that data has
grown across systems, transcending
data warehouses, data lakes, cloud,
and, more recently, to the edge.

13. 13
Data Warehouse Data Lake Virtual Data
Invented in 1992 Invented in 2008

14. 14
• 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”

15. 15
3 Trends
in Modern Data Architecture

16. 16
Multi-Cloud
Virtual Data
Fabric
Data
Mesh
Data
Virtualization
Platform
Technology
▪ Modern Data Architectural Styles

17. 17
Virtual Data Fabric

18. 18
• How to Get More from Your Data in 2020, Jan 2020
• A data fabric architecture is designed to stitch
together historical and current data across
multiple data silos to produce a uniform and
unified business view of the data.”

19. 19
Virtual 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

20. 20
Data Mesh

21. 21
• Should Your Application Consider Data Mesh Connectivity? May 2020
• … data mesh allows data sources to remain
distributed and controlled by different organizations,
but accessible to a centralized application”

22. 22
Virtual Data Mesh
Consumers
Data
Science
Machine
Learning
Artificial
Intelligence
Mobile
Applications
Predictive
Analytics
Business
Intelligence
Unified Data Security
Abstraction Layer
Universal Access
Self-Service
Data Catalog
Data Domains – Data as a Product

23. 23
•Multi-Cloud

24. 24
▪ Multi-Cloud Hybrid Architecture – Option 1
On-prem
Data Center

25. 25
▪ Multi-Cloud Hybrid Architecture – Option 2
On-prem
Data Center

26. 26
Multi Cloud Logical Layer
Consumers
Data
Science
Machine
Learning
Artificial
Intelligence
Mobile
Applications
Predictive
Analytics
Business
Intelligence
Unified Data Security
Abstraction Layer
Self-Service
Data Catalog
Universal Access
Sources
Cloud Data OnPrem Data
Cloud Data Cloud Data

27. 27
Demo

28. 28
Logical Data Fabric
Consumers
Data
Science
Machine
Learning
Artificial
Intelligence
Mobile
Applications
Predictive
Analytics
Business
Intelligence
Unified Data Security
Abstraction Layer
Universal Access
Sources
Oracle Cloudera
Snowflake Webservice
$

29. 29
Closing Remarks

30. 30
• Kevin Kelly “The Inevitable”
• Digital Transformation requires the
mindset shift …
• Sharing data is more effective than
accumulating

31. 31
Q&A

32. Alexey Sidorov
Data Management
Director and Chief
Evangelist Middle East
Denodo
asidorov@denodo.com
Raheel Khan
Vice President
Sales & Strategy
EMEA
Edgematics
raheel.khan@edgematics.com
www.edgematics.ai www.denodo.com
Thank you.