Watch full webinar here: https://bit.ly/2N1Ndz9 How is a logical data fabric different from a physical data fabric? What are the advantages of one type of fabric over the other? Attend this session to firm up your understanding of a logical data fabric.

1. Advancing Cloud, Analytics, and
Data Science with Logical Data Fabric
The Agile Data Management and Analytics Conference

2. #DenodoDataFest
Logical Data Fabric: An Introduction
Consulting Director
Denodo
Q u in n L ewis

3. Agenda
1. Ecosystem Evolution
2. Transformational Themes
3. Foundational Definitions
4. Core Capabilities
5. Key Benefits

4. #DenodoDataFest
Evolution of Data Ecosystems
Deployment On-premise Cloud
Processing Batch Real-time
Access Point-to-point Decoupled
Data Models Rigid Flexible
Orchestration Manual Generated

5. #DenodoDataFest
Transformational Themes
COGNITION UNIFICATION AUTOMATION
efficiency | revenue growth | products & services |
customer satisfaction | employee engagement
governance | security | asset lifecycle | architecture |
self-service | literacy | operations | quality
BUSINESS
OUTCOMES
DATA
ENABLEMENT

6. #DenodoDataFest
Analyst Data Fabric Definitions
people
systems
information
According to Forrester:
“Orchestrating disparate data sources intelligently
and securely in a self-service and automated
manner, leveraging data platforms […] to deliver a
unified, trusted, and comprehensive real-time
view of customer and business data across the
enterprise.”
According to Gartner:
“Enables frictionless access and sharing of data in
a distributed data environment. It enables a
single and consistent data management
framework, which allows seamless data access
and processing by design across otherwise siloed
storage.”

7. #DenodoDataFest
Logical Data Fabric

8. #DenodoDataFest
Cognition
AI/ML Recommendations
▪ Recommend catalog datasets
▪ Propose associations & transformations
▪ Recommend optimization constructs
Self-Service
▪ Provide data profiling information
▪ Enable multi-user collaboration
▪ Search, discover, and query datasets

9. #DenodoDataFest
Unification
Data Governance
▪ Publish curated datasets
▪ Augment metadata to reflect processes
▪ Analyze lineage and change impact
Security
▪ Use industry standards (OAuth2, SAML, etc.)
▪ Track all usage for auditing
▪ Leverage enterprise security platforms

10. #DenodoDataFest
Automation
Query Optimization
▪ Exploit capabilities of data sources
▪ Orchestrate dynamic flow of data
▪ Understand data gravity
Hybrid/Multi-Cloud
▪ Push-button infrastructure deployment
▪ Support for scaled/elastic environments
▪ Enabled DataOps/DevOps processes

11. #DenodoDataFest
Key Benefits
1. Agile and flexible business-owned/driven data solutions
that honor enterprise governance and security
2. AI/ML application to metadata for semantic meaning
and data flow optimization
3. Managed costs for cloud/hybrid environments and
expanded groups of data producers and consumers

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