Watch full webinar here: https://bit.ly/3AdAzkW Hybrid cloud has become the standard for businesses. A successful move will involve using an intelligent and scalable architecture and seeking the right help. At the same time, multi-cloud strategies are on the rise. More enterprise organizations than ever before are analyzing their current technology portfolio and defining a cloud strategy that encompasses multiple cloud platforms to suit specific app workloads, and move those workloads as they see fit. Learn the key challenges in multi-hybrid data management, and how you can accelerate your digital transformation journey in a multi-cloud environment with data virtualization.

2. Reinventing and Simplifying Data Management for a Successful
Hybrid and Multi-Cloud Strategy
Mitesh Shah
Senior Cloud Product Manager, Cloud Evangelist

3. Agenda
1. Hybrid & Multi-Cloud Challenges/Drivers
2. Data Virtualization & Cloud Architecture
3. Hybrid/Multi-Cloud Use Cases
4. Key Takeaways

4. 4
Challenges with multi-hybrid cloud data management
• Obtaining single, unified views leading to data insight in a landscape with disparate data silos
across the organization (multi-platform, multi-location)
• Multi-hybrid data formats and data sources
• Worldwide regulations: security & data privacy implications
• Democratized data access
• Relentless data movement leading to network bottlenecks
COMPLEXITY
COST
TTM
PERFORMANCE
GOVERNANCE
SECURITY

5. 5
Top cloud use cases/ initiatives driving data management needs
Source: Denodo Global Cloud Survey 2021

6. 6
Hybrid Cloud Challenges Influencing Modern Data Architecture
2- Ensuring the right solution architecture that fits in your Cloud journey
a) Simplifying - Migration to the Cloud journey
b) Alleviating - Data Sprawl and API ecosystem
c) Flexing – better and faster access to data in a cost effective way
1- Key decision making factors for cloud data management
a) Architecture and Performance in the Cloud
b) Security & Governance using DV
c) DevOps /Deployment Automation (Containerization)
Source: Denodo Global Cloud Survey 2021

7. Key considerations for a hybrid
multi-cloud data management
architecture

8. 8
Top driving factors for hybrid cloud architecture optimization
• Cloud native workloads - Migrating the workloads to the cloud will happen sooner than later, although certain
private workloads may still remain on-premises
• Data consumption and access should be agnostic of data location, technology and platform, thus making the
architecture lot more fluid and easy to expand.
• Data marketplace defines the way data and it’s various formats can be access across the cloud in a seamless
fashion
• Judiciously and discretely monitor the data movement across cloud workloads and try to keep data processing
closer to where your data resides.
• Centralized security model along with privacy and compliance gatekeeping is highly desirable in the modern
architecture to simplify governance.
• Centralized metadata management including simplification of enterprise data search, visibility, and lineage in
form of data catalog functionality is becoming pretty common.

9. IT: Flexible Source Architecture
Business: Flexible
Tool Choice
IT can now
move at
slower
speed w/o
affecting
business
Business can
now make
faster & more
sophisticated
decisions as
all data
accessible by
any tool of
choice
Data Driven Agile Architecture using Data Virtualization
(Connect + Combine + Consume)

10. 2
Data Quality Data ScienceML / AI Vizualisation
Agile Information Architecture
Securit
y
Governance, Metadata Management, Data
Mart
Data Access
Data Virtualization
Data Services
Consume
rs
Data Sources
Data Warehouse
RDBMS
noSQL
Data
Sources
Federatio
n
Transformatio
n
Abstractio
n
Data
Service
Dynamic
Query
Optimizatio
n
Cost
Based
Optimizer
Query
Rewritin
g
Caching MP
P
Security
&
Governan
ce
Lifecycle
Manageme
nt
Data Catalog
Discover Query
Collaborate Categorize

11. 2
Denodo Developer
Administration &
Operations
Business User
& BI Analyst
Data Scientist
Application-to-Application
One Platform - Multiple
Personas

12. Use Case Architecture for hybrid &
Multi-Cloud adoption

13. 13
Hybrid Logical Data Warehouse for AWS

14. 14
▪ Multi-Cloud Hybrid Architecture
On-prem
Data Center

15. 15
Hybrid Data Integration and Migration to Cloud
Scenario where the Hybrid Data
Hub is useful is during migration
periods
• Databases and applications can
be gradually migrated to the
cloud
• The DV layer absorbs the
changes
• Migration is transparent for end
users
Active
Directory
Data Center
Cloud

16. 16
Logical (or Virtual) Data Lakes – Enabling All Data Together

17. 17
Perth DC
Brisbane
DC
Santiago
DC
Houston
DC
US East
Cloud
APAC
Cloud

18. 18
Key Takeaways - Data Virtualization and Hybrid / Multi Cloud
▪ Moving to Cloud can be disruptive - Data Virtualization can help
minimize the impact on business by isolating the changes
▪ Without proper hybrid integration layer, cloud applications and
databases can become yet more silos - Data Virtualization can open up
these silos and allow users to access all data, anywhere.
▪ Cloud Data Virtualization can improve agility, lower TCO and help
ensure the
benefits of Cloud Modernization when transitioning workloads to Cloud.

19. Denodo Standard in the Cloud: Try the 30 day Free Trial !
Denodo Standard in the Cloud
Marketplaces !
Denodo Standard Free Trial

20. © Copyright Denodo Technologies. All rights reserved
Unless otherwise specified, no part of this PDF file may be reproduced or utilized in any for or by any means, electronic or mechanical, including photocopying and microfilm,
without prior the written authorization from Denodo Technologies.