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Data Management – DII (A Momentary Look)

Integrated Data Systems​ and Interoperability Overview

Planning and Analysis Phase in Data Management – DII

  • Plan and Analyze
    • Define Data Integration and Lifecycle Requirements
    • Perform Data Discovery
    • Document Data Lineage
    • Profile Data
    • Collect Business Rules

Designing Data Integration Architecture

Interaction Models and Data Services

  • Design Data Integration Solutions
    • Design Data Integration Architecture
      • Select Interaction Model
      • Design Data Services or Exchange Patterns

Modeling Hubs and Exchange Patterns in Data Management – DII

  • Model Data Hubs, Interfaces, Messages, and Data Services
  • Map Data Sources to Targets
  • Design Data Orchestration

Developing Data Integration Solutions

Building Data Flows and Migration Plans

  • Develop Data Integration Solutions
    • Develop Data Services
    • Develop Data Flows
    • Develop a Data Migration Approach
    • Develop a Publication Approach
    • Develop Complex Event Processing Flows

Implementing and Monitoring DII Systems

  • Maintain DII Metadata
  • Implement and Monitor

Tools and Technologies for Data Management – DII

Core Data Integration Tools

  • 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

Governance and Best Practices in Data Management

Assessment, Change, and Agreements

  • 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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