Welcome to this in-depth walkthrough of Chapter 8: Data Integration and Interoperability (DII) from the DAMA Data Management Body of Knowledge (DMBOK). This video is part of a chapter-wise series designed to support professionals preparing for the CDMP certification and those implementing enterprise data strategies. 🔍 What You’ll Learn in This Chapter:
The definition and scope of Data Integration and Interoperability Key functions such as data migration, consolidation, sharing, and archiving Integration models: ETL, ELT, CDC, streaming, batch, real-time, asynchronous Architectural patterns: point-to-point, hub-and-spoke, publish-subscribe Operational intelligence and decision support through integrated data flows Dependencies on other knowledge areas like Data Governance, Metadata, Security, and Architecture How DII supports BI, MDM, analytics, and operational efficiency
📌 Essential Concepts Covered:
Latency types and interaction models Canonical message formats and orchestration controls Application coupling and exception handling Integration of structured and unstructured data across platforms
🎯 Whether you're a data architect, engineer, steward, or strategist, this video will help you understand how DII enables seamless communication between systems and supports enterprise-wide data initiatives. 📚 Based on the official DAMA DMBOK framework and enriched with practical insights from real-world implementations
Data Analytics Talks
Welcome to this in-depth walkthrough of Chapter 8: Data Integration and Interoperability (DII) from the DAMA Data Management Body of Knowledge (DMBOK). This video is part of a chapter-wise series designed to support professionals preparing for the CDMP certification and those implementing enterprise data strategies.
🔍 What You’ll Learn in This Chapter:
The definition and scope of Data Integration and Interoperability
Key functions such as data migration, consolidation, sharing, and archiving
Integration models: ETL, ELT, CDC, streaming, batch, real-time, asynchronous
Architectural patterns: point-to-point, hub-and-spoke, publish-subscribe
Operational intelligence and decision support through integrated data flows
Dependencies on other knowledge areas like Data Governance, Metadata, Security, and Architecture
How DII supports BI, MDM, analytics, and operational efficiency
📌 Essential Concepts Covered:
Latency types and interaction models
Canonical message formats and orchestration controls
Application coupling and exception handling
Integration of structured and unstructured data across platforms
🎯 Whether you're a data architect, engineer, steward, or strategist, this video will help you understand how DII enables seamless communication between systems and supports enterprise-wide data initiatives.
📚 Based on the official DAMA DMBOK framework and enriched with practical insights from real-world implementations
https://youtu.be/othDADk4gcg
1 week ago | [YT] | 1