Explain Data integration also with its type.

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 Data integration is a data preprocessing technique that combines data from multiple sources and provides users a unified view of these data. These sources may include multiple databases, data cubes, or flat files. One of the most well-known implementations of data integration is building an enterprise's data warehouse. The benefit of a data warehouse enables a business to perform analyses based on the data in the data warehouse. 


There are mainly 2 major approaches for data integration:-

Tight Coupling: In tight coupling, data is combined from different sources into a single physical location through the process of ETL -Extraction, Transformation, and Loading

Loose Coupling: In loose coupling data only remains in the actual source databases. In this approach, an interface is provided that takes a query from the user and transforms it in a way the source database can understand, and then sends the query directly to the source databases to obtain the result.

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