Schema mapping is an essential process in data integration, where data from different sources are integrated and transformed into a common format. Essentially, it is a way of mapping the data from one schema to another schema. Schema mapping is an important aspect of data integration because it ensures that data is accurately transferred from one system to another.

In simple terms, schema mapping involves creating a mapping between the source schema and the target schema. The source schema is the schema of the data source, while the target schema is the schema of the destination system. The process of schema mapping involves identifying the differences between the two schemas and then creating a mapping that will enable the data to be transformed from one schema to the other.

There are several benefits of schema mapping. One of the major benefits is that it enables data to be integrated and shared across different systems. This means that data can be accessed and used by different applications within an organization, without the need for manual intervention. Additionally, schema mapping can help to improve data quality by ensuring that data is accurately mapped and transformed.

In conclusion, schema mapping is an essential process in data integration that enables data to be accurately transferred from one system to another. By creating a mapping between the source schema and the target schema, data can be integrated and shared across different systems, which can help to improve data quality and reduce manual intervention.