The document discusses the advancement of cloud, analytics, and data science through logical data fabric, emphasizing the evolution of data ecosystems, transformational themes, and core capabilities. It defines logical data fabric as a framework that enables seamless data access and management across disparate sources while highlighting benefits such as agile data solutions and AI/ML optimization. Key themes include self-service data governance, security, and automation within hybrid and multi-cloud environments.

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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