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Data Management – DII (A Momentary Look)

  • Plan and Analyze
    • Define Data Integration and Lifecycle Requirements
    • Perform Data Discovery
    • Document Data Lineage
    • Profile Data
    • Collect Business Rules
  • Design Data Integration Solutions
    • Design Data Integration Architecture
      • Select Interaction Model
      • Design Data Services or Exchange Patterns
    • Model Data Hubs, Interfaces, Messages, and Data Services
    • Map Data Sources to Targets
    • Design Data Orchestration
  • Develop Data Integration Solutions
    • Develop Data Services
    • Develop Data Flows
    • Develop Data Migration Approach
    • Develop a Publication Approach
    • Develop Complex Event Processing Flows
    • Maintain DII Metadata
  • Implement and Monitor
  • Tools
    • Data Transformation Engine/ETL Tool
    • Data Virtualization Server
    • Enterprise Service Bus
    • Business Rules Engine
    • Data and Process Modeling Tools
    • Data Profiling Tool
    • Metadata Repository
  • Techniques
    • Implementation Guidelines
      • Readiness Assessment / Risk Assessment
      • Organization and Cultural Change
  • DII Governance
    • Data Sharing Agreements
    • DII and Data Lineage
    • Data Integration Metrics

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