When handling data mapping and field mapping during migration, I start by gaining a clear understanding of both the source and target systems. I analyze their data structures, field names, data types, and relationships to identify how each field in the source maps to the corresponding field in the destination.
I usually create a data mapping document that outlines every field, its transformation rules, and any changes needed, such as format conversions, default values, or data type adjustments. This document acts as a blueprint for the migration process and helps maintain consistency across the team.
If there are fields that don’t have a direct match, I work with stakeholders to decide how to handle them, sometimes through data transformation, sometimes by creating new fields in the target system.
Before final migration, I perform test runs to validate that the mapped data loads correctly and maintains integrity. Automation tools and scripts can help with this, but I always include manual validation to catch anything the tools might miss.
Being a seasoned developer, make sure that I offer Data migration services that rely heavily on precise field mapping and validation to ensure that every piece of data ends up in the right place with the correct format and meaning.
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