Overview
Data Integration involves combining data residing in different sources and providing users with a unified view of them. This process becomes significant in a variety of situations, which include both commercial and scientific domains.
Common Approaches
- ETL/ELT: Batch processing.
- Data Virtualization: Real-time access without moving data.
- Data Federation: Creating a virtual database from multiple sources.
- Change Data Capture (CDC): Real-time synchronization.