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 …
Data Management – Data Profiling
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 Data Integration and Interoperability. Data …
DII – Data Interaction Models – P2P, Canonical and Publish/Subscribe
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 will be shared. In …
Data Management – Manage Versioning and Control
ANSI Standard 859 has three levels of control of data, based on the criticality of the data and the perceived harm that would occur if data were corrupted or otherwise …
Difference between ETL and 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 physically or virtually, …
DII – Need and Dependency
Data Integration and Interoperability is critical to Data Warehousing and Business Intelligence, as well as Reference Data and Master Data Management, because all of these focus on transforming and integrating …