DMBK12: Data Integration and Interoperability ( dmbk12 | 21 hours )

• CDMP Fundamentals

The course covers Data Integration and Interoperability within the DAMA Body of Knowledge (DMBoK®) in depth. It looks at applying Data I&I practices and solutions across the enterprise, as well as its core concepts and how it is used to support BI, analytics, MDM, and other operational efficiency efforts. It discusses data interchange, hub distributions, SOA, ETL, ELT, CDC, data replication, and where it all fits within Data Governance and expanded Data Management activities.

The DAMA International-endorsed Learning Plan was developed by DATAVERSITY, DAMA International, and Christopher Bradley, the VP of Professional Development at DAMA.

Purpose

To understand the key components and importance of Data Integration and Interoperability (Data I&I) for organizations and data professionals.

Outcome

• Learn about the similarities and differences between integration and interoperability
• Discuss many different approaches to Data I&I and the benefits of each
• Explore process flow, hubs, data virtualization, and much more

• Data Integration and Interoperability and the DMBoK
  • DAMA DMBoK Wheel
• Core Concepts and Data Interchange
  • What is Data Integration and Interoperability?
  • Goals
    • Applying Data I&I Practices and Solutions
  • Core Concepts
    • Integration
    • Interoperability
  • What is Data Interchange?
    • Data Exchange
    • Data Transfer
  • What is Data Interoperability?
    • Point to Point
    • HUB Distribution
    • BUS Distribution
  • SOA 101
  • XML Messages Need Data Models
• SOA and ETL
  • Fundamentals: SOA
  • ETL, ELT, and CDC
    • ETL Process Flow
    • ELT Process Flow
  • Message Synchronization and Propagation
    • Two Main Genres
  • Application Coupling
    • Coupling
    • Tight Coupling
    • Loose Coupling
  • Abstraction/Virtual Consolidation
  • Key Differences with Data Virtualization
    • Physical Movement and Consolidation
    • Abstraction/Virtual Consolidation
    • Synchronization and Propagation
  • Which Approach is Best? Considerations …
• Data Replication and Governance
  • Data Replication
  • Data Governance
  • Data Currency
  • Time to Solution
  • Life Expectancy
  • History and Aggregation
• Wrap Up
  • Key Takeaways