Data Mapping and ETL Services to Integrate Legacy Systems

In today’s fast-paced business environment, organizations often find themselves dealing with a mix of modern and legacy systems. While newer technologies offer advanced features and capabilities, many companies still rely on their existing legacy systems due to various reasons such as cost-effectiveness or historical data retention.

However, the challenge arises when these disparate systems need to communicate and share data seamlessly. This is where data mapping and Extract-Transform-Load (ETL) services come into play. Let’s explore what they are, how they work, real examples of their implementation, and why they are essential for integrating legacy systems.

What is Data Mapping?

Data mapping refers to the process of aligning fields or attributes from one database or system with another. It ensures that information can be transferred accurately between different applications by establishing mappings between corresponding elements in each system.

For example, suppose you have an old customer database stored in a mainframe system using specific field names like “CUST_NAME” and “CUST_ADDRESS.” To integrate this legacy system with a new CRM platform that uses standard field names like “Name” and “Address,” you would need to create a data map that links the old field names with the new ones.