Manual Data Integration: This involves manually collecting, transforming, and loading data from various sources into a unified format.
2. Middleware Data Integration: Middleware software is used to facilitate communication and data exchange between different systems and databases.
3. ETL (Extract, Transform, Load): ETL processes involve extracting data from source systems, transforming it to meet the desired format or structure, and then loading it into a target database or data warehouse.
4. Federated Data Integration: This approach allows data to remain in its original location but provides a virtualized view of data across different sources, enabling queries and analysis without physically moving the data.