Differences between the Old Data Lifecycle (with multiple silos, views and goals) and the New Data Lifecycle (with one language, one view and goal). By Miguel Ángel Díaz, Business Development Manager @RedHat

1. Miguel Ángel DÍAZ
Business Development Manager
AppDev & Middleware
madiaz@redhat.com

5. Manage Build Code Query

6. Ingest Integrate
Act Discover

7. Ingest Integrate
Act Discover

9. Source: Computing Technology Industry Association Big Data Insights & Opportunities Study / Base: 500 U.S. business and IT executives
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17. Big
Data
Data
Governance
Applications
Integration
Enterprise
Cloud
Enterprise
Security
Storage
Management
Business
Process
Management
Configuration
Management
Deployment
Enterprise
Service Bus

18. Data
Governance
Applications
Integration
Enterprise
Cloud
Enterprise
Security
Storage
Management
Business
Process
Management
Configuration
Management
Deployment
Enterprise
Service Bus
Big
Data

19. Linux Audit
Framework
Advanced Intrusion
Detection Environment
Security Content
Automation Protocol
Red Hat
Identity Management
Security Management Process
life-cycle automated
security patching
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20. ●
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Global Enterprise Software Defined Storage Strategy
Batch Layer: off-line analytics Speed Layer: on-line analytics

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22. Enterprise Applications
Service Oriented Architecture
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Business Intelligence
Analytic and Reporting
Big Data System
Data Warehouse
System
Data Base
Systems
Any other
data source
Data as a Service

23. ●
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Ingest Prepare Detect &
Predict
Decide
classification rules
and patterns (ML+BR)
data sources
enriche, Filter, ...

24. ●
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Process Repository
Purchase Process Implementation Layer
Interaction Layer
Human Inputs Machine Inputs
Interactive
Decision
Making
Automatic
Decision
Making
Big Data
Hardware Acquisition
Predictive System
(Machine Learning)

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26. Enterprise IT
Business
Maximization
Big Data System

27. Ingest
Integrate
Act
Discover