What is the difference between data mapping and data integration?

What is the difference between data mapping and data integration?

Data mapping is the process of matching fields from one database to another, while data integration combines data from different sources into a unified view.

Can you give me an example of data mapping?

Sure! For instance, if you have a customer database with 'First Name' and 'Last Name' fields, and you want to map them to a new system that uses 'Name', you would create a mapping that combines those two fields into one.

How does data integration work in practice?

Data integration typically involves extracting data from various sources, transforming it into a consistent format, and loading it into a target system, often referred to as ETL (Extract, Transform, Load).

What tools are commonly used for data mapping and integration?

Common tools include Talend, Informatica, and Microsoft SQL Server Integration Services (SSIS) for data integration, while tools like MapForce are used specifically for data mapping.