A structured document outlines the transformation of data from its original form (the source) into a desired format (the target). This structured approach employs a framework, often visualized as a table or diagram, illustrating the relationships between source and target data elements. For instance, a company merging databases might use such a document to specify how customer information from the old database maps to corresponding fields in the new one. This ensures data integrity and consistency during the migration process.
Such structured documentation plays a crucial role in various data management tasks, including data migration, integration, and transformation. It promotes clarity by providing a single reference point for all data mappings, thereby reducing errors and inconsistencies. Historically, data transformations were often handled ad-hoc, leading to significant challenges in maintainability and scalability. The adoption of formalized mapping approaches addresses these issues, providing a more manageable and robust solution for increasingly complex data landscapes. Furthermore, they facilitate collaboration among stakeholders, ensuring a shared understanding of how data is being handled.
