Can you let me know how to migrate data?

A typical data migration follows a four‑step process: assessment, mapping, transformation, and load. First, assess the source system to understand data volume, structure, and quality. Identify key entities and relationships, and document any business rules that affect data. Second, create a mapping document that aligns source fields to target fields, noting any data type changes or required transformations. Third, transform the data using ETL tools or scripts; this may involve cleaning, deduplication, and applying business logic. Finally, load the transformed data into the target system in batches, validate the load by comparing record counts and spot‑checking sample records, and resolve any errors. Throughout the process, maintain a detailed audit trail and perform rollback plans in case of failures. Tools like SQL Server Integration Services, Talend, or even simple Python scripts can be used depending on the complexity and volume of data.