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Advancing Cloud, Analytics, and
Data Science with Logical Data Fabric
The Agile Data Management and Analytics Conference
#DenodoDataFest
Logical Data Fabric: An Introduction
Consulting Director
Denodo
Q u in n L ewis
Agenda
1. Ecosystem Evolution
2. Transformational Themes
3. Foundational Definitions
4. Core Capabilities
5. Key Benefits
#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
#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
#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.”
#DenodoDataFest
Logical Data Fabric
#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
#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
#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
#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
© 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.

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Logical Data Fabric: An Introduction

  • 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.”
  • 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
  • 12. © 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.