Watch full webinar here: https://bit.ly/3oFJGKo Modern data and analytics landscape is becoming more and more complex by the day, as data driven decision making becomes ubiquitous for every functional area within every imaginable organization. While being promising, cloud data warehouses and data lakes are falling short of solving the complex data management problem and adding to security and governance complexity. Even modern architectures like data fabric and data mesh cannot solve the problem if they are not thought through a logical first strategy. Join this panel, where Rex Washburn from CDW, Jacob Lynn from Textron and Inessa Gerber from Denodo will discuss: - What role data fabric and data mesh play in modern data ecosystem - What is a logical first strategy and its importance in modern data architectures - How organizations can be future ready by embracing a logical first strategy

1. Transforming Data Management
for the Cloud

2. Importance of a Logical First
Architecture in a Cloud First Data
Landscape
Inessa Gerber
Director of Product Management
Denodo

3. 3
Drivers for Cloud-First Initiatives
▪ Cost Reduction
▪ Increased productivity
▪ Regulatory compliance
▪ Geographical distribution
▪ Scalability and Flexible Deployment
▪ Application and Data Modernization

4. 4
Data is inherently decentralized and reside in multiple business systems and applications
Complexity of data ecosystems can be overwhelming
Life would be easy if all your data was in one place But the real world is a lot more complicated
The great data migration
Life would be easy if all your data was in one place But the real world is a lot more complicated

5. 5
Cloud Deployment Models
Source: Denodo Global Cloud Survey 2022
Hybrid & Multi-cloud comprise over half
the Deployment Models
Multi-cloud Deployment increased
year-over-year

6. 6
Cloud Migration Challenges
▪ Data Replication is time consuming
▪ Creation of new data silos in the cloud
▪ Ongoing changes for the consumer applications
▪ Complexities of Data Governance Security
▪ Future proofing the evolving architecture
▪ Retirement of old systems?
▪ Cost of the new systems?

7. 7
Cloud Migration Journey: Direct Access

8. 8
Cloud Migration Journey: EDW to Cloud Migration

9. 9
Cloud Migration Journey: Reroute Data Pipelines

10. 10
Cloud Migration Journey: Introduce Abstraction Layer

11. 11
Cloud Migration Journey: Repoint Consumers to Denodo

12. 12
Cloud Migration Journey: Denodo access to Cloud Sources

13. 13
Cloud Migration Journey: Repoint Consumers to all Migrated Data

14. 14
Cloud Migration Journey: Migration Complete

15. 15
Cloud Migration Journey: Evolve Architecture and Accommodate

16. 16
Multi-Cloud Integration with Denodo

17. Importance of a Logical First Architecture
in a Cloud First Data Landscape
Inessa Gerber
Lead Architect & Head of
Portfolio, Modern Data Platforms,
CDW
Rex Washburn
Data & Analytics Manager,
Textron
Jacob Lynn
Director of Product Management,
Denodo

18. Thank you!