Integrated Data Systems and Interoperability Overview Planning and Analysis Phase in Data Management – DII Designing Data Integration Architecture Interaction Models and Data Services Modeling Hubs and Exchange Patterns in …
Data Management – Data Profiling
Understanding Data Content and Structure Understanding Data Content and Structure is essential for Data Governance, Data Architecture, Data Modeling and Design, Data Storage and Operations, Data Security, Data Quality, and …
DII – Data Interaction Models – P2P, Canonical and Publish/Subscribe
Data Interaction Models in DII Canonical Model (Hub-and-Spoke) A Canonical Data Model is a common model used by an organization or data exchange group that standardizes the format in which …
Data Management – Manage Versioning and Control
ANSI Standards 859 – Levels of Data Control in Data Management ANSI Standard 859 has three levels of control of data, based on the criticality of the data and the …
Difference between ETL and ELT
ETL vs ELT ETL – Extract, Transform, and Load Central to all areas in Data Integration and Interoperability is the basic process of Extract, Transform, and Load (ETL). Whether executed …
DII – Need and Dependency
Data Integration and Interoperability (DII) – Need and Dependency Why DII is Critical for Data Management Functions Data Integration and Interoperability is critical to Data Warehousing and Business Intelligence, as …